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Paper Citation Record · LEDGER

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

As of 5 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 93 inbound Pith citation observations for arXiv:2211.01324.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2211.01324 v5

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T01:44:22.710205Z

measured 188 of 188 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 93 of 93 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:41:30.780764Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T13:29:51.539140Z

Reference resolution

95 of 95 outbound references displayed

  • verified exact20
  • verified fuzzy60
  • unresolved3
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cfcdc35-95fd-4e6d-9bea-35bfe4e126f3 · outbound

This paper cites Efficient Large Scale Language Modeling with Mixtures of Experts.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.789288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 96e6915f-ccb4-40c1-b904-7c981be28cec · outbound

This paper cites Blended Latent Diffusion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Blended Latent Diffusion

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.747418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ff32c1c2c5b6a6585c815892f2d86811ac1d191f37b7c01e007cf3975509d42b

Observation e0248014-4cd4-44b8-a626-6cb267d67067 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Blended diffusion for text-driven editing of natural images

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.931947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:220b2a489fd1ae13544d759ef06a79cb96f2678ed16ace20c77808176fcd4216

Observation 06bd2e55-cf1b-4ca1-9c54-d58ef5f55195 · outbound

This paper cites Estimating the optimal covariance with imperfect mean in diffusion probabilistic models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Estimating the optimal covariance with imperfect mean in diffusion probabilistic models

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.934122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e6709ddc5991fef453223eb8fa21e3c855a8752ef44e01dc04e7ab0d01be85ef

Observation f7f5fc54-3b53-4f2a-9aa7-c76684be0834 · outbound

This paper cites Analytic- DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Analytic- DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models

Reference 5

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raw_fallback, observed 2026-05-15T01:44:22.936164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:94d5215cea865fd9f7745c680538acdfd3f25f46c644b836e8807215c65fdce4

Observation e0a1bb80-58bd-496e-a983-ebe519f29acf · outbound

This paper cites Paint by Word.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Paint by Word

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.751402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:40cfb09047608f16b1f890bed5881a58b2b7837993527bac77e2484a023ed2ae

Observation 16cfe5b7-4b2b-419d-9eea-26467d06b0d1 · outbound

This paper cites Semi-Parametric Neural Image Synthesis.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Semi-Parametric Neural Image Synthesis

Reference 7

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raw_fallback, observed 2026-05-15T01:44:22.940165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d7ec651dea19ecb18984d8f4b33182696b7be434eef017c7b942362a0fe9562b

Observation 8bdaa08c-f548-41bf-98ef-1073d0590f2c · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Sub- biah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Brown, Benjamin Mann, Nick Ryder, Melanie Sub- biah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 8

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raw_fallback, observed 2026-05-15T01:44:22.942657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:00afbeb7dd0c9b6174f009f6e914fbc21687355d9d50150938cff987e7bf2d4c

Observation 1fbfb04f-8ef9-4145-8dc6-4133e4029d08 · outbound

This paper cites Re-Imagen: Retrieval-Augmented Text-to-Image Generator.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Reference 9

Resolution
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arxiv_id, observed 2026-05-15T01:44:22.755533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0e5fb1cf-e8b8-4fe3-97cd-c5f9b975fece · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers PaLM: Scaling Language Modeling with Pathways

Reference 10

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local_arxiv, observed 2026-05-15T01:44:22.759067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:c1223e77a137102e749668d2ba6be36bf6d4540b30c3bed9606c61fa8f22f1dd

Observation f1925581-ac49-4bd2-b550-fc83f3d6f2fd · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Improving diffusion models for inverse problems using manifold constraints

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.948948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:c1c22b53ef1c801e28167755ec3ec641177527775006d6ffd538f78691b196ce

Observation 0101af1d-0f1d-4eb1-947a-81383b86f351 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.763483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:17b2146eb50139f321d803f1b425b584eb1a1781b3944714124898d719cf1b40

Observation edce3746-14fc-4d51-bb8b-4dc0d25f16f6 · outbound

This paper cites Diffusion models beat GANs on image synthesis.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion models beat GANs on image synthesis

Reference 13

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verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.953231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:daa8e1b9971c310cb4ea98415a4c7de775ccca8acb64090a77092c8cabf8d71c

Observation c5591587-d3e4-409d-befa-6bfc711f906d · outbound

This paper cites Differentially Private Diffusion Models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Differentially Private Diffusion Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.767374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b68764f7e1989e1f30c3177f657960689df89d5dd10de1ca281c5fd6e09644fd

Observation a8a8fbe6-f931-48b2-bc36-c64d1c399a94 · outbound

This paper cites GENIE: Higher-order denoising diffusion solvers.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers GENIE: Higher-order denoising diffusion solvers

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.957290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b7ca686158940bbd0be27369a8dbd37e7f1f6b82aa9ce619138d74a49d09b46f

Observation 93284660-d9df-4aca-9a2e-67dfe01522a8 · outbound

This paper cites Score- based generative modeling with critically-damped Langevin diffusion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Score- based generative modeling with critically-damped Langevin diffusion

Reference 16

Resolution
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raw_fallback, observed 2026-05-15T01:44:22.959390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:5ccad81a39e6ce13218c9df4cd9a317ed3c10d4fe0be330ca8cbacbc0d3ac623

Observation ed82296c-576b-4c67-870b-f8a6d783e25f · outbound

This paper cites Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Reference 17

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arxiv_id, observed 2026-05-15T01:44:22.771350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9edfe4e3c699ecff855384c6bf0d0bbe6cdab13b717890d57b1457d29c21e304

Observation a2ddae1b-1548-4a2a-a7ed-19dffcb59f0d · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 18

Resolution
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local_arxiv, observed 2026-05-15T01:44:22.774581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:634a403a06217561e28e8f9d6fbb7e24a7f015633d55c7acb4773659b7dc1db3

Observation 6861b754-c203-4aa0-b5e9-1ad46753b053 · outbound

This paper cites Vector quan- tized diffusion model for text-to-image synthesis.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Vector quan- tized diffusion model for text-to-image synthesis

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.965929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:8dc3012a2729b13c72b80c578d57af10e3f50070239184745f9054f6f9e9b3d7

Observation bca94485-57b3-4344-acba-318a655fac47 · outbound

This paper cites Flexible Diffusion Modeling of Long Videos.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Flexible Diffusion Modeling of Long Videos

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.778510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e700c8732d0f5d75a9717e95407495d61cf02a6e206ce6d5e9af8c472b180211

Observation af63918c-b025-4525-9679-939864f63423 · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Laws for Autoregressive Generative Modeling

Reference 21

Resolution
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local_arxiv, observed 2026-05-15T01:44:22.781916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4b8bbae403faa1bff727bcba18cc099e674b94df3f5dc3e08eae28dd1093f583

Observation 2ec3655f-cd4d-4a21-b47e-95f71a26e2f8 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.785529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:46150421f9b543a062a8713e3e778c8ed537455e2aa0e3b1170c63381e5bae0b

Observation a502432f-8db1-48ee-b10c-840050cbd313 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Deep Learning Scaling is Predictable, Empirically

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.742944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:6383870ac7daf259209cac5fb8d83a340d0394b007433d9d85bc9383c003cca1

Observation 71502766-3199-4882-8103-17175225866a · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.975987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:516e57d97ba160b3d4f5811e229a1443336d6bd7c5eefc7e96981d8f4a787798

Observation d9b86598-1fb0-481b-a3c4-0f796ee15abd · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Imagen Video: High Definition Video Generation with Diffusion Models

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.792960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:8b9b70f19b4b4d97e4ac8b07d2b19cdaf4ca961f4d3ccb1980d357812fa6a4af

Observation d64444c0-ed2a-4645-a4ff-4794030c2c54 · outbound

This paper cites Denoising diffu- sion probabilistic models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Denoising diffu- sion probabilistic models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.980712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d4cbfcc79ae02ea55f62e0cccdb02124885f0195c398986ff341b4e83d2ecc2c

Observation 3af1b140-a25a-4315-9acd-713e288c105f · outbound

This paper cites Fleet, Mohammad Norouzi, and Tim Salimans.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Fleet, Mohammad Norouzi, and Tim Salimans

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.982818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b47f48ac9455b2f0979eab03ec844d2391deac601a97f3292c1baa6860c7774e

Observation ae71d0e1-b9ec-49c3-86fc-74893d87e08d · outbound

This paper cites Classifier-free diffusion guidance.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Classifier-free diffusion guidance

Reference 28

Resolution
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raw_fallback, observed 2026-05-15T01:44:22.984720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d173858f2ecc9f32422302c3c4007055985c3b10c753d7f7e7cc44cb86c18132

Observation 713da928-6dbb-47d5-8dca-273214ee4d5c · outbound

This paper cites an unresolved cited work.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-15T01:44:22.986794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:96574b47692d955e18c72dbb79d8c8020ac4dd46e8eda6918383db70473add60

Observation c253ac07-5e7e-47a2-a41b-7d25d9798e75 · outbound

This paper cites Multimodal conditional image synthesis with product- of-experts GANs.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Multimodal conditional image synthesis with product- of-experts GANs

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.988830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:fdd4de44d63d1ca2804affa93000ecce188ff97cb52da8f7bb49ee187b6ae0fa

Observation 65ed0c4a-39fc-4f44-bd70-749d758c9f33 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Estimation of non-normalized statistical models by score matching

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.990901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1a601ea76e388405698aca904e8c686cf1da7b1455a05d7893b63e1897827a02

Observation 6d670588-9885-41c2-beff-358cba4d52d2 · outbound

This paper cites an unresolved cited work.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-15T01:44:22.851104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:959a6a568f650c1f74aaa1abcad7d81220b7a381fe8502f733d79b7843aed7aa

Observation 28e1549b-7fed-42fa-b805-5a3deb7c4026 · outbound

This paper cites Scaling Laws for Neural Language Models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Laws for Neural Language Models

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.796173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:bd08c1b2677292982f71fa46fb219724d5ce347e0b2fdb72ad71e6c8b397d806

Observation b5717a46-70ef-43cc-ba4f-64b259d99028 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Elucidating the design space of diffusion-based generative models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.856375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e195f6942751f3c7cb9b153b0cf1f3d7b027c2fe068514cd9d7d057fd84a22e5

Observation 4765c859-fb2b-4e91-8b19-81102673512d · outbound

This paper cites Denoising diffusion restoration models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Denoising diffusion restoration models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.858761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:c03f8f87a6386f0bc10e0a36db2fc3cb00eb36788bb7edf60268e9f71ff0f5c5

Observation 28b32dd2-6a5f-442e-bb3f-9220ae29e3a0 · outbound

This paper cites JPEG artifact correction using denoising diffusion restoration models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers JPEG artifact correction using denoising diffusion restoration models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.860934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:432bbdb9e848be4b060f25c185d883d607cd9ed5d708a7312e08df3d09bbcb33

Observation d2d4e7b0-3766-4fc1-935a-855a3ccd338b · outbound

This paper cites Imagic: Text-Based Real Image Editing with Diffusion Models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Imagic: Text-Based Real Image Editing with Diffusion Models

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.800076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:bc88aae43327df7bc73b119f90b9760e8f9e21007b6913e47a91dd1890f1bcd2

Observation 911cff8d-3a9b-47b8-8d48-09344cc9fea7 · outbound

This paper cites Scaling Laws For Deep Learning Based Image Reconstruction.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Laws For Deep Learning Based Image Reconstruction

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.803125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:246cb3977e860912b6e2af04103746026cf5c343bbef8d860cd97e3c281e7581

Observation de748b40-0c38-46f7-8f42-2da104786a49 · outbound

This paper cites DiffWave: A versatile diffusion model for audio synthesis.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DiffWave: A versatile diffusion model for audio synthesis

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.867629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:0cae8e90da36943c9030ec01c89be16945f5a7982d0af1108fa64760258fae0f

Observation b919c1cb-ac17-44a0-bd97-5286d6136579 · outbound

This paper cites Shamma, Michael Bernstein, and Li Fei-Fei.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Shamma, Michael Bernstein, and Li Fei-Fei

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.869730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e471271e6c75ad97043cd86ef236aa160120a0917620761b51d406132a7c13c7

Observation bf2ecf67-d2a1-4b1e-896f-a3302efc7553 · outbound

This paper cites Diffusion-LM Improves Controllable Text Generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion-LM Improves Controllable Text Generation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.806438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:88f2a494aab84cb2b094b2d74e69f9d4bfdf7c47d7c8b438b344fc58c9d90623

Observation 140d7666-2750-46fc-86f4-92068cca4887 · outbound

This paper cites Lawrence Zitnick.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Lawrence Zitnick

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.873930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:18bb8051d1c4792bb75653c82a10e58c2ff4a2c3be9e397a03ce871edd23eb8a

Observation 20c0cd8c-9101-4ad6-8b55-9922cd475ff0 · outbound

This paper cites Pseudo numerical methods for diffusion models on manifolds.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Pseudo numerical methods for diffusion models on manifolds

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.875987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:52d7a939ee646e57fa9ea0a924d93bb96316ccd846eb531e4b5a7e16f3691ca3

Observation 3db6695a-cfa9-4c01-9fb9-14606c2bf699 · outbound

This paper cites Imaginaire.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Imaginaire

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.878209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ed320fde8f33d1039d8c60711daf2683c2d2616e28824e6ba4620005297bfb33

Observation c536e42b-c314-4bcb-9d62-0abf470bdcfb · outbound

This paper cites Decoupled weight decay regularization.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Decoupled weight decay regularization

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.880236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ec1d2f5b109807ccd7299cf1e32a3605774449ff5d8aa695b3a0f68ae6bb1dab

Observation c5e52d17-b3fc-49f9-a9dd-d0aa8d788082 · outbound

This paper cites DPM-Solver: A fast ODE solver for diffu- sion probabilistic model sampling in around 10 steps.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DPM-Solver: A fast ODE solver for diffu- sion probabilistic model sampling in around 10 steps

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.882527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:89f13f18cb1b3ac0657bc0424477dae89fad0615535a073b6a8f507d2b52f0f9

Observation 07bcd33a-7e69-4128-b9aa-8c573645c0a6 · outbound

This paper cites RePaint: Inpainting us- ing denoising diffusion probabilistic models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers RePaint: Inpainting us- ing denoising diffusion probabilistic models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.886236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:6d0cef9b0b69aba24b45c3278244e3452b56e64f8752b7f141a1eb3a171dbfb0

Observation 092e0232-8153-49ee-a80d-27467c6deec2 · outbound

This paper cites Improving Diffusion Model Efficiency Through Patching.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Improving Diffusion Model Efficiency Through Patching

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.809834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:bca0162005478923d3f6a8950634e5423f7cb333470327efb76b0111453a4fa8

Observation 9b4edcb0-a35a-43e6-97c3-679614052a53 · outbound

This paper cites Diffusion probabilistic models for 3D point cloud generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion probabilistic models for 3D point cloud generation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.893209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4902d383f05e354afd4e2fdc5b2122f30ce0639a9a39949048edd50ad79c559c

Observation b810f07a-55e1-4600-b264-171769075615 · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equations.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers SDEdit: Guided image synthesis and editing with stochastic differential equations

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.895304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d8328a36cb92ed53e714ca9d48743c8e393f2c767c25b767043bc2ee186a2591

Observation 4dece804-9451-4355-8db1-8aad6f4fadfd · outbound

This paper cites GLIDE: Towards photorealistic image genera- tion and editing with text-guided diffusion models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers GLIDE: Towards photorealistic image genera- tion and editing with text-guided diffusion models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.897380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:42ea8820f11e8ef1fbf39d3fa965ec3db3d4d09ec8e900f133e59989853a0b1e

Observation b9eb3469-1eda-44f3-be24-b6e31fc808be · outbound

This paper cites Diffusion models for adver- sarial purification.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion models for adver- sarial purification

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.899438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:7a9fc8c69195fa224f602439b6a7716e1d69f3917154d3dc808427183717423f

Observation 7a69962c-9d00-4c5c-8830-4dab6b02704b · outbound

This paper cites Semantic image synthesis with spatially-adaptive nor- malization.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Semantic image synthesis with spatially-adaptive nor- malization

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.901581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:6100990e3772f9343ad3556a8e9320e763c3abb22d6604ed6fcb1881fd8c8c7e

Observation 8de4a19a-e6cf-4de6-9b97-affc0806e97a · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers PyTorch: An imperative style, high-performance deep learning library

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.903719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:6087917194796014eba3e8e4d38e3a5ed46b3b9385e7d9bd613716d29d565072

Observation a17cc095-0636-4915-92f0-8c0f1c28bc32 · outbound

This paper cites Learning transferable visual models from natural language supervision.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Learning transferable visual models from natural language supervision

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.906261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9341f819f3dd8bf4512fc5772658726c8f8d93c0f4aee84d5eab5f884868536e

Observation 7314203c-2ae9-4cad-8d59-5f4c79b270c0 · outbound

This paper cites an unresolved cited work.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-15T01:44:22.908447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:70280786afbca6c189fc0f8353fcd8880473890a25765c4ce61c37e49b1d1b7c

Observation 5589e3b5-5838-437e-90fa-b3572cec858f · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.812845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:63f60844a38ee9b3fa38afbb5ce0b13abb24e881f7c185005e7a9946f4de6fc7

Observation 2aaaa9a8-e06d-413d-b42b-cc2d7159bcdc · outbound

This paper cites an unresolved cited work.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Unresolved cited work

Reference 58

Resolution
parse uncertain
raw_fallback, observed 2026-05-15T01:44:22.912758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:8a0673b92f5b820832b9137824538e342fd595381a949bd42c02d6fac28991dc

Observation e230708c-e033-4455-b4aa-9f5433c60bfa · outbound

This paper cites Scaling vision with sparse mixture of experts.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling vision with sparse mixture of experts

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.914806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:52d23cfdad027d4bcbfa109f64730a77a8d2a972886c04b38998678489989acd

Observation 7803db55-2f72-4eca-9782-be577ac641ae · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers High-resolution image synthesis with latent diffusion models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.917350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b5e3fab74726b04ee6a18829b9ea13c93932690691ee2dc127ce40c25d5fb0e9

Observation 920c1d2d-78cb-4276-875b-5d5a1fc2ac90 · outbound

This paper cites Stable diffusion v1-4.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Stable diffusion v1-4

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.919372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d5aa6e328b0ed8c39d3abbc8a18ccd44ded9e267fb5c60ab74b6365a6e4b6df9

Observation c6899938-8966-40d4-87cb-2d95bea1aae7 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.816531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ed69b907048c385769c6118b5a4eb9a9a05470ad0e57e28b38bf30187489c72a

Observation 3af4c88a-4fd2-4506-9cbd-e30ea375f701 · outbound

This paper cites Lee, Jonathan Ho, Tim Salimans, David J.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Lee, Jonathan Ho, Tim Salimans, David J

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.923323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4b08b5e5d6a379cbe88b5ba7625f4ab7febe7c444903a03ad42904587a855cf8

Observation df3b422a-a206-4ab5-9d3d-79c9aa46e8cd · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 64

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.819391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:2b1a57a16bdcedcce6ba7320c76b7411be8bf4414eb1005836f470812eef9654

Observation 415e1820-afc6-429e-a54b-98e00fffdf7b · outbound

This paper cites Fleet, and Mohammad Norouzi.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Fleet, and Mohammad Norouzi

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.927667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:a27ee9cc8b2baf8dcd942a2358f42d870f96043025601f7cc245211589fc801b

Observation 198eaf8a-95d8-4731-9c4b-7bb03b700caa · outbound

This paper cites Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.929930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1143f7a9360f149d73adac89663daa3d046dd40278e1d0ab6cf20137d083603c

Observation 0d66d0f9-f879-4097-9484-b421c240e8b2 · outbound

This paper cites KNN-Diffusion: Image Generation via Large-Scale Retrieval.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers KNN-Diffusion: Image Generation via Large-Scale Retrieval

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.822983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ee7f65d5cccf46663f208c6a72fee2d8a8e8852a867c5b7b1dfa8f73c45a698b

Observation e39b488c-eccd-456b-8281-6d00da678cfc · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.825951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 452e0530-c550-47c2-9f97-19943689359b · outbound

This paper cites D2C: Diffusion-decoding models for few-shot condi- tional generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers D2C: Diffusion-decoding models for few-shot condi- tional generation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.946765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:62c2bab1bb559ccc63b811073e5d5ac94ea3b964eff9ffa4d02aa5b7cdbaedcb

Observation 3f9f7ccf-ec3a-4240-b9c6-efbd9771ad43 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Deep unsupervised learning using nonequilibrium thermodynamics

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.950918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:3d6ec530babe725118e82ac820b30af69deff3a96c7df7d7d25126f3b9b664f6

Observation 8c80d55c-82f8-4570-865b-fc9202b48725 · outbound

This paper cites Denoising diffusion implicit models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Denoising diffusion implicit models

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.955195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1a0dea09ae5babc3bc69f38c57e7a7abd8e0c28d882a824b063f65746b2c2afe

Observation 8d08cc49-f07d-4211-92f5-374f0e6c9309 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Generative modeling by estimating gradients of the data distribution

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.961417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:fcd2aa8fe64f1d8ad76791b0a2f8a1b5a932564f451c803b352c080a5b352ed7

Observation 6b1c8780-4eba-458e-b86a-16f2eeca1bee · outbound

This paper cites Improved techniques for training score-based generative models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Improved techniques for training score-based generative models

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.963488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4cb1f8e047068550edc57088298109671d059a8a5c01d6cdfb701fd8bffa3919

Observation 88f112d1-d38d-43fb-8d7f-f0bc2c1fa45c · outbound

This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.968048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:0f027c961233d7c97b449e9e1c78f73e56d23057481b5ea2b6f37a9777229dd3

Observation 5277d88d-ccdf-4e1e-826d-b7a2dd0d7a7c · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Dropout: a simple way to prevent neural networks from overfitting

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.970049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:36719d9e006ba30f85a57448758e23005a050a93bdc2b7b96472881cbb0e9a7a

Observation 7d90f67b-ba2b-44ce-a3c6-681d7f4cc254 · outbound

This paper cites The bitter lesson.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers The bitter lesson

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.971860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:edfe7066436cda8ad5f9be5468ac022af45f90a688ce8bd29a7abfee6887a704

Observation 5baae6ff-d428-4d40-8006-e86ca58acf5b · outbound

This paper cites CSDI: Conditional score-based diffusion models for probabilistic time series imputation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers CSDI: Conditional score-based diffusion models for probabilistic time series imputation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.973881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:921a6f6966da66ed727d7d5fafbc66c2dc27bd07eced626cc4b6a3902d339273

Observation 342e8cff-4947-4942-a56d-729c3d89e244 · outbound

This paper cites Score-based generative modeling in latent space.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Score-based generative modeling in latent space

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.978808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1d1b2b53765fdbb563778668bb0965b228bded5882676083877e887cbb0e8fbe

Observation a9f7fd8d-4c68-4c9e-b5e3-2e04744c01c3 · outbound

This paper cites UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.829358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:844efa5e6cd07102d384d7df94a8ec75388352d63c2802560a0ae9d590469486

Observation 9e3f2a95-7845-4716-b4ff-1c05bc9a62a1 · outbound

This paper cites A connection between score matching and denoising autoencoders.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers A connection between score matching and denoising autoencoders

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.863126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e9f7ef5faa0b249c1c86cb80353964f94cd37bc911ec2a1162e1848e58a2ba9f

Observation 3760e796-4e4b-47ef-a88c-cce6884e56c7 · outbound

This paper cites Pretraining is All You Need for Image-to-Image Translation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Pretraining is All You Need for Image-to-Image Translation

Reference 81

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.832639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:09655dbb932a1e75f7e354e99c4515f37aee0a0f49e6c5c2209ed65c333f49cc

Observation 62778f05-d04d-49d9-8078-489c41f981c6 · outbound

This paper cites Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.871898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:194d9f5bd806668d36296fee5bb5ec397feda1c3aa0bd8bcaa2cfd089dbe0bfd

Observation 152cf2b8-490d-4b6f-b162-0d69e2541fb8 · outbound

This paper cites Dimakis, and Peyman Milanfar.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Dimakis, and Peyman Milanfar

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.890857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:8f8776188f838580ed849c630880e339c481f0a767bf7d4848b123c9c67987ee

Observation 8cd0fa83-a0e7-493a-9b65-7d4d8154aac7 · outbound

This paper cites Protein structure generation via folding diffusion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Protein structure generation via folding diffusion

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.835657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b34b4cfae79edb0529c5638b5cd736f985d7ab4d7a07c769f8929539d6efa529

Observation 72a64218-e1bb-4176-99ec-85882330f20e · outbound

This paper cites GeoDiff: A geometric diffusion model for molecular conformation generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers GeoDiff: A geometric diffusion model for molecular conformation generation

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.921449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4a52d1a0f1caeddd20dc246d03b21e8ee54dc6d30ae1ac66111056b49b191d0e

Observation c891f352-0d3b-46b8-ab75-16738006d8c0 · outbound

This paper cites Diffusion Probabilistic Modeling for Video Generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion Probabilistic Modeling for Video Generation

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.838999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d9091a5c4642758a35d4f86fd102c5daca3c753ad7f2c2fabc5315cd09751158

Observation 6dd858a3-a606-40fd-bb39-a89b27ce06c4 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 87

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.842165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:396561e0826ea525ec15ad36441d8e0a8fbda5b53c8060fed1d9af48122aa809

Observation 4d2f3bcf-a6aa-4f43-8c10-8f0b797880f0 · outbound

This paper cites LION: Latent point diffusion models for 3D shape generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers LION: Latent point diffusion models for 3D shape generation

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.944745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:68fd672dda6c45d705292518d9e7fe40148cad9b0a6baaaf6aa17b9504d518f5

Observation 1e7ef7f6-62a5-44a4-b540-44648fa5e924 · outbound

This paper cites Scaling vision transformers.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling vision transformers

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.853588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:250d330e0f0c3ee1cf06e994af5c3123fbfa6f96c8336598f31e8e01dc294bd5

Observation 031fa74a-c696-4365-b464-b82d94f367cc · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Fast Sampling of Diffusion Models with Exponential Integrator

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.845483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:18b77794d19c0e2fea5c5d585b0c7ffb7cf416912adcdfb84daeb5c835c4dbb3

Observation 3e4bdd47-d64f-4f38-9cce-a3a1f5593f5d · outbound

This paper cites gDDIM: Generalized denoising diffusion implicit models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers gDDIM: Generalized denoising diffusion implicit models

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.848754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:be05fe7b6c5b87acedae55292181e1d67c85b74cc6dc3863f80da82c137b9754

Observation 971c0b62-e323-4609-96c2-58b4c73c26b3 · outbound

This paper cites 3D shape generation and completion through point-voxel diffusion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers 3D shape generation and completion through point-voxel diffusion

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.925422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:64d65acc6e869a751b4bda1f84ba1314683f997c2811bf70de71fd10570e3e42

Observation afb422b1-8ad7-47cc-906f-8cc360ff0a23 · outbound

This paper cites Network Architecture For our diffusion models, we modify the U-net archi- tecture proposed in Dhariwal et al.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Network Architecture For our diffusion models, we modify the U-net archi- tecture proposed in Dhariwal et al

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.938163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e3e0889970b9746135e7dceae042efb880051b763d77e4091248ed4e04c3a8cc

Observation 12ca0ddc-b2df-431a-b2f4-aefd58adc67e · outbound

This paper cites Different from Saharia et al.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Different from Saharia et al

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.865436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9aa822cda2a7cd9a6cc305ac1fa2fae995f4e335aec042d7fcb4ffa0fb2dc904

Observation 2c0690b6-8a86-410b-bf9c-37c5d8a1c66d · outbound

This paper cites [13], we add a cross- attention block to perform cross-attention between im- age embeddings and the conditioning embeddings.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers [13], we add a cross- attention block to perform cross-attention between im- age embeddings and the conditioning embeddings

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.910752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:6d779618418dece2cdfe1878d5b20bdeb88ebbf4adf32ee09403627845c975da

Pith citing papers

Observation bdf8ed78-c207-4125-b799-4913d7b2971e · inbound

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) cites this paper.

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 140

Resolution
verified exact
local_arxiv, observed 2026-05-24T10:34:20.533027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T10:32:20.149563Z digest=sha256:628cc7b302dbe402202110ea90df3c3b29d73ef3bfbbdac1f38d59e5fda522b6

Observation 2764842a-2273-44a9-80a9-3c14c9dfee30 · inbound

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models cites this paper.

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-16T22:47:50.400569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T22:47:50.355642Z digest=sha256:721ea5f76fa4e16f58c3f0e047133d3e8ba6e60e4e18b8bcd63347eacc85430e

Observation 20dce26c-f6c9-4f23-8086-572b291a80c0 · inbound

Consistency Models cites this paper.

Consistency Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T15:47:28.598205Z digest=sha256:32b0e625101366e86b8385f71375c4a29a901ab82b62e70f12f294383fb890db

Observation 3fc65082-e7f3-42ae-8dae-fba640ed343a · inbound

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows cites this paper.

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:44:14.130740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T08:42:04.321790Z digest=sha256:022ccb559a92e6c26d25694709226c4e194225cfa83b93c80282479bc9291afd

Observation c123aba8-de3e-4800-b6e4-48d92a7cca4e · inbound

Prompt Evolution for Generative AI: A Classifier-Guided Approach cites this paper.

Prompt Evolution for Generative AI: A Classifier-Guided Approach eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-24T09:04:15.173018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T08:59:24.602556Z digest=sha256:1c9245afafcd841a754a6bab016516176dacb4e39185dd0c7dc3547f6f6a1564

Observation 45d634d4-d80b-498f-be33-6f59c564e938 · inbound

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis cites this paper.

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:22:03.530707Z digest=sha256:e4394accc2ca6244442185f45a64fd88200423d3be8fe17660645eff6f5e144c

Observation 02f79f4c-cc6b-430c-acd4-66152a56093b · inbound

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning cites this paper.

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T22:52:19.359362Z digest=sha256:5b0729ad151a1b5fc4d558d61525413ff7d321693b457e4dd4f1bb908c8a2a7e

Observation 3d88d694-61b1-4990-846b-f4df7c2c3259 · inbound

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models cites this paper.

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T23:57:08.818348Z digest=sha256:638099adba3b48d9a1b341628594396ef9ca7ae6c5076ed61e0a773da284dc4f

Observation 4bd54afd-6a5e-42ae-aca7-603047463c40 · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 78

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T13:03:58.065481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:07a7023153a2e7692b37d78f7dd980d3f37209242410fb77febfda2b85691e8e

Observation 2c046cec-5907-4c81-a0cb-35e556cc4837 · inbound

MVDream: Multi-view Diffusion for 3D Generation cites this paper.

MVDream: Multi-view Diffusion for 3D Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 164

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T08:36:19.573457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T08:36:19.457852Z digest=sha256:0972a4c2ab1fc486e94e95c32e0d61554f4babd8a4c509b58b1c5353a622c0a1

Observation 7b95c5a5-74d7-4fdc-87d7-0c0ce455427f · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 90

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T02:15:18.693262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-16T02:15:18.265190Z digest=sha256:1848d6394b0398190c467ad532c2d804584069823e75a23aec5d40f92c3d8561

Observation 17968458-04fe-42e0-841b-a467d0eca150 · inbound

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation cites this paper.

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:40:43.956642Z digest=sha256:7cfb40154a83abc38a90228affa92ada2ad8d595f52cb6be840c6dd3647d879c

Observation 26554b5a-2043-41e6-b1da-e0724043cbdb · inbound

InstantID: Zero-shot Identity-Preserving Generation in Seconds cites this paper.

InstantID: Zero-shot Identity-Preserving Generation in Seconds eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T21:02:41.489773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:02:41.399183Z digest=sha256:1ce29d3a89df270e0880ecb4022fea0fb42e64ef140228c3a82747181ccfe03d

Observation 75f5d5b0-74f9-424b-ad9f-ae273871f9b9 · inbound

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion cites this paper.

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:36:00.736190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T04:35:57.539388Z digest=sha256:46b3b181689104139d5103cf4154f17d5f98d86bfbda22d1e28052bb40193e32

Observation 7b202ce5-b983-44a9-9df1-3edd10b1e140 · inbound

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment cites this paper.

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T19:43:03.310237Z digest=sha256:f14048ecd28d3df63b00ca4e2b5a2f9ab0026d1425d8f3f5763c718aee034089

Observation 78ab5429-a823-4fa5-9e63-173aee7337f1 · inbound

CameraCtrl: Enabling Camera Control for Text-to-Video Generation cites this paper.

CameraCtrl: Enabling Camera Control for Text-to-Video Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T02:06:23.410241Z digest=sha256:b6294372577221dba50e0cf942e2aef9107c4acfd419f88b14b9df79975c52c3

Observation 40c7ac0e-f72c-4415-a366-1a4b84bb0193 · inbound

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding cites this paper.

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-16T14:58:37.412582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T14:58:37.383749Z digest=sha256:6a9405e02a7724a49b75a888c9a2493012a809a0f0fdbabba80f67661aa23d24

Observation 94225b43-da3c-44b2-9511-53771f76c96d · inbound

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation cites this paper.

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:53:26.539359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T20:50:21.184443Z digest=sha256:d6b95f893ed4758bcb8c75b7dccf30ad33b729aa63ec7b9d019b64aa1f1ff963

Observation 47b5e893-0e2b-4a04-895e-7b7f32a9ba64 · inbound

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers cites this paper.

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:56:50.009149Z digest=sha256:14c3924499ca4f49ecebae38ab59b18f55b2dc23813e19dad69fa581cb2c23e8

Observation 758571fd-a831-4955-8a9d-c18f47ea0350 · inbound

Movie Gen: A Cast of Media Foundation Models cites this paper.

Movie Gen: A Cast of Media Foundation Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T14:16:18.521699Z digest=sha256:35410fe7c1cd06b373a399a377c72ee26451890ad1aaeef73fc9ea08dc863d40

Observation cf7f9cde-43d7-4a40-921f-1846801b588a · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:34b8afe7d28b58b2cb3cc6cdf21c87b0f6b159229d53111639932bdceef8fdfb

Observation 971b1463-4aac-482a-bee5-efb6137713e3 · inbound

Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement cites this paper.

Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:07:00.089556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T03:04:20.516410Z digest=sha256:e094ad14144b028e8bca23f3bb11e520b8350933ff53ec77a70e9b8e06388ff4

Observation b494398e-e282-4e35-87d9-2f46d17112af · inbound

UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries cites this paper.

UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-25T08:15:33.760443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T08:14:28.540629Z digest=sha256:08fbc92a81af3de6bec1c89b8a5acb55767847d534efeb0ecca5c7c8dad4d174

Observation eb7e1a1c-5734-40e6-be3c-6219bf1c564e · inbound

Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states cites this paper.

Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T18:41:30.780764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:41:30.780764Z digest=sha256:fb5b658685f0b1846fe50cb5541b22ee9a7a7801235330db83b605ed42912fbf

Observation 7f098930-233b-4c61-95fa-773a854f20bc · inbound

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy cites this paper.

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T18:37:17.304373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:37:17.304373Z digest=sha256:66dba43a07b1f77b9f0b66c0152391c140f76fc26338fef3d7a57d4769659257

Observation b5ec6584-cfa5-4459-ba90-11305488c884 · inbound

PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models cites this paper.

PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T17:06:01.024756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:06:01.024756Z digest=sha256:b300a21b2e4b8871abb681687594e7136d65b90f4eb40938c52d2b5bcb97bd17

Observation 3893f42b-8f57-47a7-8e03-eef69f1cb5b3 · inbound

CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation cites this paper.

CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T13:02:41.014213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:02:41.014213Z digest=sha256:dc296c2e74f3c4bcb1965ac2a0958dcab5334d1c343d16d8f0e772540e76d8bd

Observation 09184a01-47fa-4191-a0b0-786f9e66bac6 · inbound

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation cites this paper.

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T11:42:08.312655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:42:08.312655Z digest=sha256:47ca2eea0523b153bb01c6ea73518c55b0d0a7fb3bbf6acadc603081ea9df3e2

Observation 3ff10ea4-1236-492a-9fb8-96c01277074a · inbound

LuxDiT: Lighting Estimation with Video Diffusion Transformer cites this paper.

LuxDiT: Lighting Estimation with Video Diffusion Transformer eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T10:52:02.104137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:52:02.104137Z digest=sha256:23d7459395e067051bb975e99a6d7996e8829a9a5a310659e41f630cd07df4e2

Observation ed700eef-2748-4f9f-bb7b-d5a258b5aaf1 · inbound

MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation cites this paper.

MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T10:24:55.186279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:24:55.186279Z digest=sha256:3e0c80b9d3bb26b4f64607b7d4b24215b2bc6480b1c5bb965eb9f7a89ace28fd

Observation 15b31ab6-c551-4039-a9f1-66e1b0a3951d · inbound

BADiff: Bandwidth Adaptive Diffusion Model cites this paper.

BADiff: Bandwidth Adaptive Diffusion Model eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:32:23.149648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T04:31:20.147005Z digest=sha256:2ffbfdec7498a1196245d78858c5d4f163e949aed38d362812a51a7495167772

Observation 9d6c44bf-1ede-4ea1-a049-a9693044934b · inbound

Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation cites this paper.

Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-18T00:15:31.754773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T00:13:15.606804Z digest=sha256:6e660286f85554de4d900a89728706aa711f32b980c83c4021fe2c81be8363d5

Observation fefe3a7e-d032-4dcf-897d-76eb4e067756 · inbound

SkyReels-Text: Fine-Grained Font-Controllable Text Editing for Poster Design cites this paper.

SkyReels-Text: Fine-Grained Font-Controllable Text Editing for Poster Design eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-17T21:55:20.229332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:53:26.925547Z digest=sha256:9f6f1f67a4f0c8578000101faeda9baba3bbc7639adf3c87ee39c70b28eb8767

Observation d87214ab-67cf-4651-b51e-c6eb10ea12ab · inbound

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle cites this paper.

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:50:15.283812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:45:15.034196Z digest=sha256:fb0597d6e3e2e30a3136894310a376425473d33170ee7445453d821adb14b980

Observation 632eaac9-d5d2-459f-b7b2-4266d9336fda · inbound

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle cites this paper.

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-25T07:20:28.831141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T07:17:26.381232Z digest=sha256:8334336a2fe90155736d0a4ca058ab827f30e1b0ec9719e12ac5db7b30476f6d

Observation 9e9988b7-d6e1-4195-b2ca-0440c21aafab · inbound

Screen, Cache, and Match: A Training-Free Causality-Consistent Reference Frame Framework for Human Animation cites this paper.

Screen, Cache, and Match: A Training-Free Causality-Consistent Reference Frame Framework for Human Animation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-16T23:13:39.301040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T23:13:09.767909Z digest=sha256:a2fc68d8ffc5354125da28f17e2d5141fcc698451a226a01a05809d10d140d5c

Observation 5f44977e-193e-4bf3-a87a-5592d628d969 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T15:20:09.021378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T15:16:59.801347Z digest=sha256:1dc56ae10a13a1d98d947ebaf91c17065c09c1e37de10c6137cacf01e745688b

Observation a78a7641-2561-4da6-b075-d196545bf8f6 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-15T12:51:20.969593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:51:20.969593Z digest=sha256:783736198da1564becf8d70b8f306764e551a8800b97247d8122beacd0c6f24a

Observation a0afd2ce-21b2-46fc-b4e6-43f1058deb03 · inbound

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis cites this paper.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-15T15:06:10.175696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T15:02:16.208300Z digest=sha256:b130f02b2a0716f96fdf537de0483179dff5b90f0b3fff6b48b62bc32bc1ce90

Observation 3034ded7-ae14-4f6a-b7d3-70bb11d81576 · inbound

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis cites this paper.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-21T12:04:09.476559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T12:04:07.443646Z digest=sha256:100068b9b1aae3c4fb24ac58553b3a07d3c320b90535004d6ead7a5391584144

Observation 70a3f10d-a146-43a8-b2ad-ef9e332b2aae · inbound

RAE-NWM: Navigation World Model in Dense Visual Representation Space cites this paper.

RAE-NWM: Navigation World Model in Dense Visual Representation Space eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-15T12:07:05.640150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:07:05.640150Z digest=sha256:588f2955e06beaa80681713d997a10d99803ddeff6d16c16fbd33b9528cd0c0e

Observation 63f9bc40-804d-440f-b078-c284791897e8 · inbound

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation cites this paper.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T05:37:54.863413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:37:54.863413Z digest=sha256:44e26c757e16a1caf1b603b4a7340a492b98e7cf0ff3f0e2bbc9a3441555b012

Observation 0ef16b8a-25dd-4b9d-adee-70a6e9343615 · inbound

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models cites this paper.

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T19:44:10.507760Z digest=sha256:ae2fc3b50903fee7ed0a0942735719108daac1768ad09650f24d52be2ef16aa3

Observation c956675c-cbfe-4f4d-bf63-5891f02140c3 · inbound

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer cites this paper.

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T19:20:52.810648Z digest=sha256:d8fb9aeb62fef6847d859774156d8de916ddc6656aa6b143ce1b5650c0a9bdaa

Observation 4422cfb9-91cf-48be-9843-a6641d9e44af · inbound

OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner cites this paper.

OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:37:25.939058Z digest=sha256:f1547b0f2208de0c05eda81e40082f9ebbfa4a8ef9d999d5efa61e88fb747109

Observation 2f3a28ab-4758-46d4-b5fe-780ad92178d6 · inbound

ADP-DiT: Text-Guided Diffusion Transformer for Brain Image Generation in Alzheimer's Disease Progression cites this paper.

ADP-DiT: Text-Guided Diffusion Transformer for Brain Image Generation in Alzheimer's Disease Progression eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T14:27:50.244229Z digest=sha256:28fc7b92ba41c3bccc7e3ce2f3aa48e107213b2a689616048f6c30d9318fd2bc

Observation ded06288-94af-4f76-ab28-11a439e6023e · inbound

DiffMagicFace: Identity Consistent Facial Editing of Real Videos cites this paper.

DiffMagicFace: Identity Consistent Facial Editing of Real Videos eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T13:00:14.782905Z digest=sha256:652aed8e90f772d16ba3094ba718154152b200d06fad44b961bdde3dc3596b1d

Observation 078095d8-0147-472c-acaa-8b3449688842 · inbound

Temporally Extended Mixture-of-Experts Models cites this paper.

Temporally Extended Mixture-of-Experts Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T00:39:39.492135Z digest=sha256:4750d1abf01b21f4003421d8235aabe49e9f28f6205c39d9cae42d148f634476

Observation 75e5cae1-5760-40b1-ba75-a4493a90f105 · inbound

Benchmarking Layout-Guided Diffusion Models through Unified Semantic-Spatial Evaluation in Closed and Open Settings cites this paper.

Benchmarking Layout-Guided Diffusion Models through Unified Semantic-Spatial Evaluation in Closed and Open Settings eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T16:58:28.380188Z digest=sha256:f248adca74268ed7e5cb52739317b29c823a7aacb9a2a015641aea6b7c94314b

Observation 7ad172ae-bb5d-4534-9d8d-1b6d2c7130b8 · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T08:00:33.307429Z digest=sha256:2f171ad5df1185934f312055bfdb0e99f1165a7da2e80849d1f031a0fa9dfba1

Observation 5f1fb990-3ae2-4748-9199-c8f48e649161 · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-21T09:14:05.985262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T09:11:02.183133Z digest=sha256:2dea826f43c2ba3721aca51019d515be677a170b102ca79ecee433818b7e903c

Observation c94b9064-742f-4c50-977e-3f5f60bc7520 · inbound

Embody4D: A Generalist Data Engine for Embodied 4D World Modeling cites this paper.

Embody4D: A Generalist Data Engine for Embodied 4D World Modeling eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T19:16:50.004359Z digest=sha256:5dbb85f1227b1cdad181960f2004e7343d1ad2df6db9e2e4673a39b75b2df23b

Observation af36eaac-8998-435a-a5bb-540b219ba0b6 · inbound

Embody4D: A Generalist Data Engine for Embodied 4D World Modeling cites this paper.

Embody4D: A Generalist Data Engine for Embodied 4D World Modeling eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T00:25:09.902756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T00:17:39.409452Z digest=sha256:c2e76a835f31e5397f3e91c4a1c0a952117aaea3635eb9b5ffdf455b4bb598d1

Observation f1cbd7d5-a271-4c37-a846-60a2a858c529 · inbound

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions cites this paper.

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T13:13:22.775999Z digest=sha256:7d2276abc28d797c117a2074af7f87eba12dc3cc28d0a0f367b09323ab96da6c

Observation 78006a91-efd5-46cf-8011-4aa4f4d486ee · inbound

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices cites this paper.

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 50

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T20:03:43.779101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T20:00:27.987481Z digest=sha256:4653f35265bb862e1a17ecce8b414adad22f12b1eeafe5da81c87e53fe281e5f

Observation dba62026-e24a-49ee-81dd-825f6bf31fa9 · inbound

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers cites this paper.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:52:48.380410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T21:48:35.203469Z digest=sha256:ef9d8a7e9afc8086fddf2ea03589e62e4fca6e8fcf7508f45dd9252265de1bc4

Observation 5f3a5b1d-2f8f-43ab-bff8-ae7d49bdf35d · inbound

Functionalization via Structure Completion and Motion Rectification cites this paper.

Functionalization via Structure Completion and Motion Rectification eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 235

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T12:28:17.055342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T12:25:07.157086Z digest=sha256:1c88ce1236fa83d4a5182a746947c3059709d3a13488dcdfac8195e2d1ec0d3f

Observation 863a4281-f374-49a6-a2dd-b14c782dcecb · inbound

Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection cites this paper.

Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-20T06:28:05.554995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T06:25:32.694239Z digest=sha256:eb0f819d511295dcc360e6b1137e1a04b5ec9a9b08e05b9375ac136e5aca62ef

Observation 116b8b7b-a159-4256-ae79-42c055c1e030 · inbound

Probability-Conserving Flow Guidance cites this paper.

Probability-Conserving Flow Guidance eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-20T05:48:04.580212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T05:44:00.004160Z digest=sha256:55abc308c1171c835ecdd8e68ff04431356ae1fb7ce4e07f3b4b970a30b35159

Observation 76e9be83-1093-4ba6-8b1b-1331471cb602 · inbound

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation cites this paper.

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:12:46.594052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T23:11:58.580004Z digest=sha256:cf3cfa6c7605d065b822663d1c38e34098ad5e7b6469453b49b7e7fea75736b6

Observation ee394b25-a001-41d7-ba28-6582004b9f15 · inbound

COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation cites this paper.

COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-28T17:52:27.267203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T17:51:18.190103Z digest=sha256:317d9d94be86eaf458b0da180d712815788fd00823de4ab898500ab8da5904e1

Observation 592ee39d-b797-44be-866a-445beb32c426 · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 149

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:36:16.991442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T15:18:17.427707Z digest=sha256:b3e0b254584dd8d73ad663a467e89919448a701f29f8f5f85c2d8cad4a33a1eb

Observation 3ca6233f-727d-4d2b-869a-c15ad2ca206e · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 149

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T23:17:28.858650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-02T23:17:03.456746Z digest=sha256:51e9e7b493232eed1fa15fc9ec6ac8adbfe3d0a073c6f65faaaf21899879ca62

Observation 80813f2b-ef85-444f-9024-be2fcb752dbf · inbound

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems cites this paper.

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 128

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T11:16:53.831404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T04:17:18.483765Z digest=sha256:086c59f84c8c1785fbfa8a2577638293a86100ec8af9f9b5a851fe3e07aced08

Observation f9a6089f-248c-4f82-894f-0a0f5becdf0e · inbound

Complexity-Balanced Diffusion Splitting cites this paper.

Complexity-Balanced Diffusion Splitting eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-02T12:16:56.637155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T02:21:11.177707Z digest=sha256:ccd08852487002055523691a67c786991fee0e28b35e60deaf0a60b5bbb7cc5a

Observation 323cfc89-6a58-4935-a83b-80920c050bc4 · inbound

MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training cites this paper.

MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:37:26.166440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:44:41.266768Z digest=sha256:ca5979dcf670ad72c00d11977f23a41a391890e3c4b3cf950a37a2532ded58d4

Observation 74d7196f-3627-4430-9a2d-fda82e0fc993 · inbound

CSFlow: Aligning Flow Matching with Human Contrast Sensitivity cites this paper.

CSFlow: Aligning Flow Matching with Human Contrast Sensitivity eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T22:47:26.414144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T18:37:11.509883Z digest=sha256:9c5423176f453f98b8241537b2cc70438ce72b7d62eafcdbfd1dfe88db9d8377

Observation 7533b67f-eae5-49ee-b1c5-435156ace6d5 · inbound

STEDiff: Strengthening Text Embedding for Text-to-Image Alignment in Diffusion Model cites this paper.

STEDiff: Strengthening Text Embedding for Text-to-Image Alignment in Diffusion Model eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:37:36.489148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T13:50:32.005383Z digest=sha256:94ddbe8ea4a44a9847f53fb6c1b8368c656ea06823fd97c3be7c54852e345092

Observation 2de775f8-a694-49ff-a8f5-611c43734676 · inbound

ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models cites this paper.

ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:17:58.112745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T10:04:48.622730Z digest=sha256:2efe11d2742c2fab452efd2a902c2a03edcfb1e4b9735ffabe39d4f335b41686

Observation c91bb152-83fe-4c6a-8d27-13e0c12f5ad3 · inbound

Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks cites this paper.

Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-03T09:07:47.547577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T10:33:56.918809Z digest=sha256:7d58574f9217b28d0d5dcbbf49fa9d0dd44a30e0be0adea9fd02a737dd2edba5

Observation 32fcb44b-5a15-4221-bda1-0fde9e3df7dd · inbound

DuET: Dual Expert Trajectories for Diffusion Image Editing cites this paper.

DuET: Dual Expert Trajectories for Diffusion Image Editing eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-03T14:38:29.262140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T06:58:39.254427Z digest=sha256:faff4391eba622ba59cf3c4b1ab117c71b49f48e07c45ad59f758c652f2e9e6f

Observation 3b46c4a4-81c3-4f20-9507-0fab2330916f · inbound

DuET: Dual Expert Trajectories for Diffusion Image Editing cites this paper.

DuET: Dual Expert Trajectories for Diffusion Image Editing eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T02:13:10.238312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:13:10.238312Z digest=sha256:6bc67b83d137df64eb6cda960ac56e92cb7aa839da7c26b58f918f4c72013400

Observation efc06d93-3469-4834-992f-0f8e16038a7d · inbound

RISE: Relay Inference and Online Scheduling for Efficient Edge-Device Collaborative Diffusion Model Services cites this paper.

RISE: Relay Inference and Online Scheduling for Efficient Edge-Device Collaborative Diffusion Model Services eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-03T22:19:00.468637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T23:38:08.990338Z digest=sha256:eed1fc31303a9668bf5682e3f8db2d68298b0f70e0a7a25053a13cdc0e797249

Observation 6e18caa8-08c0-4162-87ec-ec8d8b7ddbc4 · inbound

Rethinking Text-to-Image as Semantic-Aware Data Augmentation for Indoor Scene Recognition cites this paper.

Rethinking Text-to-Image as Semantic-Aware Data Augmentation for Indoor Scene Recognition eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-04T00:09:14.191479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T21:30:03.573719Z digest=sha256:67950a9699cf2fa4db5e31721df4809e816c7c61dc8ff240a59fe452b36d2734

Observation 7d606570-0939-40fd-b486-063c5bdf0256 · inbound

Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism cites this paper.

Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-04T02:39:24.667110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T19:36:14.248003Z digest=sha256:e8588c72413070bfa9f060f4e199bf185afc0d0dcb7f3698289a7eeab84b6656

Observation b09c4a59-0a3c-461a-ad3d-2ac3471cd191 · inbound

MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts cites this paper.

MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T07:39:38.907321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T13:12:03.271949Z digest=sha256:99caf729936a97b3ab353024cd567dd0a61a6cd0925da55dac56faca42fce603

Observation 403ef28e-650a-4a46-9fc0-59a6d36ac442 · inbound

FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs cites this paper.

FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T09:59:45.393276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T09:17:07.491073Z digest=sha256:926a3d512419177ef4b04db441e5997e6d3765deac79616a1e678f6402280db1

Observation d4d60b52-df87-4c8c-8ca9-8e7d707eb520 · inbound

Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE cites this paper.

Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T13:29:51.540874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T05:11:59.761865Z digest=sha256:0a3e8fe90beb26d0c36d9206c1a6580197e1acffcfc3858f4b3675f7540d8652

Observation 4b30f1bc-bc11-45a4-b3fc-79f580ebcbfb · inbound

AI-Generated Image Recognition via Fusion of CNNs and Vision Transformers cites this paper.

AI-Generated Image Recognition via Fusion of CNNs and Vision Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T19:06:03.397969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T00:33:59.392605Z digest=sha256:4d2dcad5434a3dc8028c2e5156b12709d34a1fd4ba24d5cefff6c73b89280dad

Observation 1ba04c0a-de4a-47d6-8371-d1871574de49 · inbound

SAFE-DiT: Semantics-Aware Fast-path Execution for High-Resolution Diffusion Transformers cites this paper.

SAFE-DiT: Semantics-Aware Fast-path Execution for High-Resolution Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-06-30T07:24:21.748192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T07:17:00.884797Z digest=sha256:751d087363dab925ed3e2480a28c616d879cfe1332806b05902ec53284e54368

Observation f11b654e-51df-40de-9ad6-74841788b120 · inbound

Optimizing Visual Generative Models via Distribution-wise Rewards cites this paper.

Optimizing Visual Generative Models via Distribution-wise Rewards eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-03T16:48:39.726373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T16:39:12.711424Z digest=sha256:da4e17a90208aa82dfbad1fe0c4f771de810e72d79e0da4ca80c558d756d12e1

Observation 91c4045d-aad2-43a8-8419-1cf8bf88fa2c · inbound

Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models cites this paper.

Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-11T19:48:08.010459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:48:08.010459Z digest=sha256:118dea7b526b9051ea35b83d7657993ccb8b4fe73fe3e86d8a041a59c67c3341

Observation 2c1f4619-9ebb-4c3b-984e-ca4b27f2c709 · inbound

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation cites this paper.

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T06:23:23.294557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T06:23:23.294557Z digest=sha256:44eb1ac073029eab5d6b14ae7beaa7bd60c4ba02be5f6238ff6a2894c50a5596

Observation 3b2881d0-99ad-4893-8595-809eba40e1ad · inbound

Introspective Attention Modulation for Safe Text-to-Image Generation cites this paper.

Introspective Attention Modulation for Safe Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T00:41:54.121638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:41:54.121638Z digest=sha256:696b20404d4893ced05533f4d10b300e744cd09ce434e19da29019e299ed8f00

Observation 0333dbdc-5bc2-44a7-a0ef-ea1b9b1d4ae1 · inbound

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers cites this paper.

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T12:45:13.854800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:45:13.854800Z digest=sha256:1fd04f3f27c547277eea952073fb784d1e4b37dd64d7b6e9324714a7e2300f3b

Observation 768077b8-d5ce-4eb7-b6f6-3fb4cfb685dd · inbound

Analytic Distribution of Classifier-Free Guidance for Schedule Design cites this paper.

Analytic Distribution of Classifier-Free Guidance for Schedule Design eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T11:59:45.757337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:59:45.757337Z digest=sha256:7e13caaea133d008f7305a35ed77283a260c4ad6b74e0fbda0647950fb5afb2b

Observation 4c1f5d14-d50a-4287-bea3-afa40e71e8ce · inbound

Importance-Aware OBS Pruning for Diffusion Models cites this paper.

Importance-Aware OBS Pruning for Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T10:59:51.981486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:59:51.981486Z digest=sha256:0e8b0f1512cbfd9bd9cb49cddf218966998e7ec05ae05b74406bf830900d8162

Observation 7e40a7fe-6e16-46c4-88b5-342ec5ee45da · inbound

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers cites this paper.

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T07:02:44.077941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:02:44.077941Z digest=sha256:74b62c7d9cd5516843fe5b4963c31d8d57f97167e14edd0b85184b6fe82b513a

Observation 4d83819e-b363-46b9-92a2-4fa3014e4eea · inbound

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts cites this paper.

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 270

Resolution
unresolved
no resolver link, observed 2026-08-01T16:42:34.659798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:42:34.659798Z digest=sha256:95d2f42d94b119f7e3ea84cc32e8646ee1440158fff7986ecb80756c57d3d399

Observation 3c7d0b8a-9207-478d-bd2b-28e6ad759ff6 · inbound

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring cites this paper.

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-30T11:31:17.370808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T11:31:17.370808Z digest=sha256:730e3bd9946a673d677c2afc53ebd71093455cd00c5d750c12d6f57071730a72

Observation d3962ce7-a07e-4725-a59d-30d7d5167857 · inbound

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring cites this paper.

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T03:20:56.789479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T03:20:56.789479Z digest=sha256:dcc1d9dcfa38f20e07d1a1503708815b721502d4c3381a68b601e862090e2299

Observation 92edbf98-2731-4425-8c69-e39f8da5cfd3 · inbound

TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shooting cites this paper.

TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shooting eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 80

Resolution
unresolved
no resolver link, observed 2026-07-31T13:00:40.259984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T13:00:40.259984Z digest=sha256:debaca37bb9cb85d7e0ff5fd3c47cf4e755b590cd50d52cdd9cbe470b51da79b

Observation 998dc0e0-7e14-483f-8c4c-891eb963a1bb · inbound

On the Geometry of Music Bandwidth Extension in Latent Spaces of Audio Codecs cites this paper.

On the Geometry of Music Bandwidth Extension in Latent Spaces of Audio Codecs eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T14:08:36.703422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:08:36.703422Z digest=sha256:846bfe37ec709c6c9f3348b83aafbc515cdc835b30376d0b3cf9705c95fa385a