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Paper Citation Record · LEDGER

Arbitrary-steps Image Super-resolution via Diffusion Inversion

As of 13 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 5 inbound Pith citation observations for arXiv:2412.09013.

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

pith.paper-citation-record.v1
2412.09013 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:27:45.184626Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:27.913248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T06:36:10.236117Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact0
  • verified fuzzy66
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf47acf2-0f16-4633-87d5-e6e2f51027fe · outbound

This paper cites Low-complexity single-image super-resolution based on nonnegative neighbor embedding.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Low-complexity single-image super-resolution based on nonnegative neighbor embedding

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:44.669482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cf3dea62-32f9-48da-925e-be7c8d254a2a · outbound

This paper cites The 2018 pirm challenge on per- ceptual image super-resolution.

Arbitrary-steps Image Super-resolution via Diffusion Inversion The 2018 pirm challenge on per- ceptual image super-resolution

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ad709536-26a0-40f4-9424-c770ef3b0542 · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Toward real-world single image super-resolution: A new benchmark and a new model

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation db5060cf-8ac6-4f83-8742-16f4372349b2 · outbound

This paper cites Glean: Generative latent bank for im- age super-resolution and beyond.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Glean: Generative latent bank for im- age super-resolution and beyond

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.413772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.685991Z digest=sha256:e4f1688ff8e437394c9d79dd877bb4860ef050437272eeea16e8b54595b33540

Observation eedfe460-4951-4fac-bca4-c36ed7890236 · outbound

This paper cites Blind image restoration via fast diffusion inversion.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Blind image restoration via fast diffusion inversion

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.691966Z digest=sha256:ad1c719375fc0e1c52b85cbb909239f1e321ff6ceaaecbc72ec133a23ee0c84e

Observation 1a81e107-c951-451f-ae42-5600e54a1ca8 · outbound

This paper cites Improving diffusion models for inverse prob- lems using manifold constraints.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Improving diffusion models for inverse prob- lems using manifold constraints

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 898973f1-5a29-4ed2-8c99-752d3618af45 · outbound

This paper cites Come-closer-diffuse-faster: Accelerating conditional diffu- sion models for inverse problems through stochastic con- traction.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Come-closer-diffuse-faster: Accelerating conditional diffu- sion models for inverse problems through stochastic con- traction

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c72a748e-2a7a-4b37-a01c-0cbd42e40f86 · outbound

This paper cites Diffusion pos- terior sampling for general noisy inverse problems.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Diffusion pos- terior sampling for general noisy inverse problems

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation eb98fa15-0e69-4857-9962-1aa84b2df1d8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Imagenet: A large-scale hierarchical image database

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 81e05a9e-d020-4585-9e5f-b09f80f04fc5 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Taming transformers for high-resolution image synthesis

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1faa23c0-2815-430b-abb2-617d97d6cb41 · outbound

This paper cites Generative diffu- sion prior for unified image restoration and enhancement.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Generative diffu- sion prior for unified image restoration and enhancement

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.722072Z digest=sha256:f895b2b10ae842331fb298894fd486f4fabb06b2615550d2883af7f42328d3d0

Observation a3806369-00fb-4eaa-ba74-d58c42e86cdc · outbound

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

Arbitrary-steps Image Super-resolution via Diffusion Inversion An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:44.727085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:27:44.727085Z digest=sha256:f87a09eafdaa344c7a70a02096154767b55285a6f36873d2ff27f5faee56a020

Observation dfd7a854-dee1-476a-83c7-ad0b870bd627 · outbound

This paper cites ReNoise: Real image inversion through iterative noising.

Arbitrary-steps Image Super-resolution via Diffusion Inversion ReNoise: Real image inversion through iterative noising

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.733609Z digest=sha256:317180273002f392a695fc47c5732f1b84ab052509d1499d7203c8d51e9f3065

Observation 08b21882-fdb1-41fc-8459-70c1f1a44d39 · outbound

This paper cites Generative adversarial nets.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Generative adversarial nets

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.738595Z digest=sha256:edfcd599bcc5ce390b1d9b47fbdf1569bb33053022361f3911b6dea9621e93e8

Observation 88d9081d-575d-4ec7-8ab2-51c7aa6a4902 · outbound

This paper cites Image processing using multi-code gan prior.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Image processing using multi-code gan prior

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.743557Z digest=sha256:92d80404ce074438d48bd1c5e9f63eb3bde14b07d20aaf4d7810d4b36ccc9082

Observation 95eb52f6-806b-4f1a-974d-fab6bc984757 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Denoising dif- fusion probabilistic models

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.237604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.748378Z digest=sha256:2dff6ad24dd41b9bede1985e4364771e4f35cb87066c05a0034dfba1c8d208dd

Observation 8479b3d1-e5cf-4300-8de7-0bb4e8b8ed2e · outbound

This paper cites Single image super-resolution from transformed self-exemplars.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Single image super-resolution from transformed self-exemplars

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.752931Z digest=sha256:8ac17743e4160aa8b74e32a32e3a72b51785d052e788adf1d0f71c2d9b46771b

Observation 1666289c-ee56-4a86-87d8-2832df9b503c · outbound

This paper cites Dslr-quality photos on mo- bile devices with deep convolutional networks.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Dslr-quality photos on mo- bile devices with deep convolutional networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.206058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.757701Z digest=sha256:6246301c135e6764430af671177282178831347b9817ec6e1cfe2b62ee13e264

Observation 8b77e945-1b15-4475-bc8b-7eb2c2cd5c03 · outbound

This paper cites Pnp inversion: Boosting diffusion-based editing with 3 lines of code.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Pnp inversion: Boosting diffusion-based editing with 3 lines of code

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.762232Z digest=sha256:1f0cda89228a19d64854db17aeb72c659884bf59ce6b83d33f86dd8cc2f96b8b

Observation 081b70d1-0b36-4f02-be5c-dc0790b4498b · outbound

This paper cites Eta inver- sion: Designing an optimal eta function for diffusion-based real image editing.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Eta inver- sion: Designing an optimal eta function for diffusion-based real image editing

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.173344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.766790Z digest=sha256:08d359644f2b536b886b35ecb1523b1701cf9ab37108f0b066e46a04e24b8c3d

Observation 78721728-e637-4dd1-b5e8-176bb75de9d7 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Arbitrary-steps Image Super-resolution via Diffusion Inversion A style-based generator architecture for generative adversarial networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.156829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.890509Z digest=sha256:5ba88b1fd983ca32e7f2b7e6118dd30b5d5bced4b0206e952a294483ebad427e

Observation ee90b21e-6222-4ef7-a4e3-033f282646af · outbound

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

Arbitrary-steps Image Super-resolution via Diffusion Inversion Elucidating the design space of diffusion-based generative models

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.897498Z digest=sha256:8d8490bac0b0d9cdbe44a6dfca785385dbb3b5e1b7c2361a78d543c23f6b7eef

Observation e24a9a52-d586-4fc3-8241-bfe3be677fe9 · outbound

This paper cites Denoising diffusion restoration models.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Denoising diffusion restoration models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.122781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.902946Z digest=sha256:9445e5a634cb1c495be4ae2932011ead93a4c73109896f4c92de5679519d365b

Observation 85b031e3-de07-46b0-908c-4b1a61ae5936 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Musiq: Multi-scale image quality transformer

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.105840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.909362Z digest=sha256:b9d4ef6cc85dc2961cd9318539b544db96c13eeac6f335ad8a5f0390a26cf065

Observation 83e1b81a-6cae-43c9-99be-ce695afd71d4 · outbound

This paper cites Auto-encoding variational bayes.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Auto-encoding variational bayes

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.087657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.914865Z digest=sha256:eb7cc18e52b949c9400d277cec5d44ae858160d322bbef3463ae842173bf2e7a

Observation 182260d8-e18b-47f6-8863-5c340eebd61b · outbound

This paper cites Kingma and Jimmy Ba.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Kingma and Jimmy Ba

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.070364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.923734Z digest=sha256:15b1d195640ba2469ab8b766fc48d67a36786706bfee142db3ce8f230fee31ed

Observation ef5cc4aa-f6c0-4b81-8029-733b62aacb6a · outbound

This paper cites Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:44.931494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:27:44.931494Z digest=sha256:01cc0dd6153bc9acecb8cbaa7d26ee26bc792a43c72288e273b6904aaff83ba4

Observation 59ec3015-3490-466c-96be-d8db1a2aac66 · outbound

This paper cites Ls- dir: A large scale dataset for image restoration.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Ls- dir: A large scale dataset for image restoration

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.054376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.937561Z digest=sha256:8e59ae01f857f7bd1e1a62cfa1f00eed38c0750ad81db99cb2fc67fbfc84a5fa

Observation 681f0666-7a7f-4fab-a45e-a5e437389f31 · outbound

This paper cites Common diffusion noise schedules and sample steps are flawed.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Common diffusion noise schedules and sample steps are flawed

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.037998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.943413Z digest=sha256:d44f46c8cd4f41004fa58a12c52957a0b5d291e53b3d9bf87adfbaba6e0f4392

Observation 61d5b02d-4312-453b-8dc8-5131fb60e29c · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

Arbitrary-steps Image Super-resolution via Diffusion Inversion DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:44.948519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:27:44.948519Z digest=sha256:9fddbd56008711fee893d56b40ba614a17a38cd66656245a15c7dbdbb235ccd2

Observation 5f4020b1-ecfa-4f9d-8622-976ad4c15752 · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

Arbitrary-steps Image Super-resolution via Diffusion Inversion A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.021463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.954274Z digest=sha256:5ed0987a9367605e21356544e4fc8dcaeacfb1813513222be8dafe4527ddddd4

Observation aca8f3d7-1696-433d-b20f-fd15fed078ee · outbound

This paper cites Sketch-based manga retrieval using manga109 dataset.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Sketch-based manga retrieval using manga109 dataset

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:46.004449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.959475Z digest=sha256:0b63ba1068de4414f9ed95a7f4033e01f0811c4eb9845aa8a833ff468a499e28

Observation 16f3dd2a-b9d5-4a78-a3d7-f47f82e87e5b · outbound

This paper cites Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:44.964615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:27:44.964615Z digest=sha256:2d1561746d0634f97073f292be24463d3678571bc252ee695561ffec42e58963

Observation e1d47b64-6e46-4376-afdc-58a7999cb6c3 · outbound

This paper cites completely blind.

Arbitrary-steps Image Super-resolution via Diffusion Inversion completely blind

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:44.970765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:27:44.970765Z digest=sha256:c6762e92ca89f59ccc63cf00b8d6ffd7c49ea4914c2b9e1d1aeed4b3ee8c4cb9

Observation f1d88f47-38e4-4beb-bcd9-e86da810fe59 · outbound

This paper cites Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:44.975740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:27:44.975740Z digest=sha256:d89f40c4339df7a2e2d4b4ae7b237739d67113135bac1482af1af34af686c63d

Observation d8ce796e-5960-4065-8e39-371326185aff · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Null-text inversion for editing real images using guided diffusion models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.977468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.981048Z digest=sha256:689d610f330dcbd57982512f5cf7e40e1f81c4d97de4454776007a5b215180d9

Observation ecf37a90-0b44-41fa-9188-c255b227753e · outbound

This paper cites Metric learning based interactive modulation for real-world super-resolution.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Metric learning based interactive modulation for real-world super-resolution

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.960941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.986042Z digest=sha256:575be9ccf50f12326f642dc9303a694a6f7fa5098cd3ebe2bf78c8d2c4dd7201

Observation e5907b76-d2b8-43cb-bfcc-e2176ee6ae42 · outbound

This paper cites Gibbsddrm: A partially collapsed gibbs sampler for solving blind inverse problems with denoising diffusion restoration.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Gibbsddrm: A partially collapsed gibbs sampler for solving blind inverse problems with denoising diffusion restoration

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.944005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.990880Z digest=sha256:111be7de115dd88b2db25b772fd4370a68e6a864ba5c91d97f74cedbfdf6b0fa

Observation 1b1c8680-f543-4fdf-a34c-d0ed050f51d7 · outbound

This paper cites Visual instruction inversion: Image editing via image prompting.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Visual instruction inversion: Image editing via image prompting

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.925360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:44.995740Z digest=sha256:2433722b13ee8a6ef9ea08e52d8b26a16552f3e1f77ead3c6c5ddbdcf5070af5

Observation 9cea6426-e557-41a7-85d4-074d809537b7 · outbound

This paper cites You only need one step: Fast super-resolution with stable diffusion via scale distillation.

Arbitrary-steps Image Super-resolution via Diffusion Inversion You only need one step: Fast super-resolution with stable diffusion via scale distillation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.907496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.001349Z digest=sha256:77977bb7b08f6e1c4f25d429977a9d833b8dc6aaa5fc802ce9e17f2381592183

Observation 688336c7-25db-44e1-b99c-72e5f089ce22 · outbound

This paper cites Exploiting deep genera- tive prior for versatile image restoration and manipulation.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Exploiting deep genera- tive prior for versatile image restoration and manipulation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.889596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.007213Z digest=sha256:23825dc66c349dd4eb0c7f0953a1d4880b3c6c526e3884db0a1fb9608c964c26

Observation d250e8d9-1779-436f-b91a-9bde962363ae · outbound

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

Arbitrary-steps Image Super-resolution via Diffusion Inversion Pytorch: An imperative style, high-performance deep learning library

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.872452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.012548Z digest=sha256:c45f02b9e21e5c77de09b5a48411e9dd09bbbf03f23080c9a82c26e47a138ca2

Observation 0f9c87ff-51e7-4491-bc20-86a7dbcadff5 · outbound

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

Arbitrary-steps Image Super-resolution via Diffusion Inversion High-resolution image syn- thesis with latent diffusion models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.856756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.017329Z digest=sha256:205d171688d2c9a2f9286315f97a516cd9ab642470e332127284412008200d38

Observation cf53af72-1165-4b1b-9dc5-ecbcd536ef80 · outbound

This paper cites Adversarial diffusion distillation.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Adversarial diffusion distillation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.840521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.022132Z digest=sha256:76015e11471fade9705acc4b731c1027ff297ce4b671cbffa89ee981b10055de

Observation 329e8924-4516-4a3a-864b-3547735a0428 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Deep unsupervised learning using nonequilibrium thermodynamics

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.823802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.027559Z digest=sha256:58bf32c980fa78c5f3a2f869bb7de25a923a14ebe7b3c3533801ec5a0f6dc433

Observation 3b89034a-927c-405b-b8cc-850081eaa563 · outbound

This paper cites Denois- ing diffusion implicit models.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Denois- ing diffusion implicit models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.805798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.032899Z digest=sha256:c69ed207692b8b8705bfe89867e7e4d43a64c68c13954e54c95de6b7c5a158dc

Observation cfb5a169-8772-4f16-a95e-499a47fe9f69 · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Pseudoinverse-guided diffusion models for inverse problems

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.787383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.038054Z digest=sha256:62036c2983100b2eb07aea6c5c391ee4d3c5d7a9a918e0db655c48802180d92d

Observation c3b201e0-eed7-45d0-9928-5396112b460e · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Score-based generative modeling through stochastic differential equa- tions

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.770031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.044226Z digest=sha256:a97cb1230972c3f0a6f5596225fd7f4084dc9ef3fd1648073d9c054c0dbb284d

Observation eb3ef07e-bc43-4475-98b9-397e17455932 · outbound

This paper cites Coser: Bridging image and language for cognitive super-resolution.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Coser: Bridging image and language for cognitive super-resolution

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.753059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.049439Z digest=sha256:af1b81674a25e861081d21357a14972a5eed4050624c40cd08bdafe7a5d17672

Observation d63466ca-1c27-4c15-802f-d54af2322640 · outbound

This paper cites Attention is all you need.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Attention is all you need

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.735528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.054464Z digest=sha256:7544ced5db9875d1ca97556460704adfbd8764202f7b2037101bbf67e722bc51

Observation e70dd805-a3cc-4078-adbd-6eaa4ce7b48b · outbound

This paper cites Edict: Ex- act diffusion inversion via coupled transformations.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Edict: Ex- act diffusion inversion via coupled transformations

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.718669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.059427Z digest=sha256:91dda4b4171bea6add696d4aebc4d94c1615f8e2d63d714dc9400dcea81196cc

Observation d1887d9d-b1eb-4fbe-ac57-f4cb7b580fc3 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Ex- ploring clip for assessing the look and feel of images

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:45.064867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:27:45.064867Z digest=sha256:5b7ea9a6213792d985533b43f78f81fe75c2e34149298bf035004fc3476dfb0e

Observation adee9c08-6359-443e-aeff-c25e9f06e83b · outbound

This paper cites Chan, and Chen Change Loy.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Chan, and Chen Change Loy

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.690831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.070029Z digest=sha256:a624da26b5056ad086dd53ab38ad6ce882c3d466dfe27a2284d53a69fcca3033

Observation c0dfc9c1-eaa2-4ca3-9ae2-9f30c2b4c84c · outbound

This paper cites Recovering realistic texture in image super-resolution by deep spatial feature transform.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Recovering realistic texture in image super-resolution by deep spatial feature transform

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.675461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.075414Z digest=sha256:618a9625ccb8ac29e3dfce793391cce044e1f363e31a99bb5aed1adbd7d15a13

Observation 22e4e722-49f5-4c70-a7e3-2d058e5877f7 · outbound

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

Arbitrary-steps Image Super-resolution via Diffusion Inversion Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.660118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.080957Z digest=sha256:1e95436142647a6445e920d57603720e41e084198b1646b878acebd226b207da

Observation e7733584-7efa-4436-8844-25735004944d · outbound

This paper cites Zero-shot image restoration using denoising diffusion null-space model.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Zero-shot image restoration using denoising diffusion null-space model

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.643739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.087143Z digest=sha256:ba61505524ef6fdb0af7667b7e7e058842307c6e49e45f8dcb106acf2cfc6a7e

Observation d1c3b54a-3eb8-4fc9-a170-07c584185b82 · outbound

This paper cites Sinsr: diffusion-based image super- resolution in a single step.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Sinsr: diffusion-based image super- resolution in a single step

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.627837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.092416Z digest=sha256:c653c3f7ebe3e61c00744cfcd2f29e581e53fe513e7e926d0b53cad028b2a467

Observation 922f1afa-26ad-492f-9e1d-1f9ea2b9148f · outbound

This paper cites Bovik, H.R.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Bovik, H.R

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.611533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.097422Z digest=sha256:ef8751fc992ee3b69809bf4a18a248424a63c7b68f90b17a376ca53c41cbe5ce

Observation 4ac8ab13-8c22-4fe6-9364-8bf0ae998fc0 · outbound

This paper cites One-step effective diffusion network for real-world image super-resolution.

Arbitrary-steps Image Super-resolution via Diffusion Inversion One-step effective diffusion network for real-world image super-resolution

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.594024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.102513Z digest=sha256:28f4706e7b1fdd98bd2841b58947e3a73cb48be7a853cf056e2f508e373c1e2a

Observation a7d33394-372f-4f91-947b-640237748d0e · outbound

This paper cites SeeSR: Towards semantics-aware real-world image super-resolution.

Arbitrary-steps Image Super-resolution via Diffusion Inversion SeeSR: Towards semantics-aware real-world image super-resolution

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.575775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.108675Z digest=sha256:dea5a6c9a0108bfe298364c444e9922985d9eb0497f6244885caa2ee49236bf7

Observation 31503ba4-7550-4218-94aa-76a75f534925 · outbound

This paper cites Diffir: Efficient diffusion model for image restoration.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Diffir: Efficient diffusion model for image restoration

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.559635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.113954Z digest=sha256:f85752e558c5e717fd33505008617de74507d8c6f4eb3411f960130dd22e1925

Observation ce5bd516-31ad-4f61-96db-75b8086e3b38 · outbound

This paper cites Gan inversion: A survey.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Gan inversion: A survey

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.543440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.118669Z digest=sha256:a0961f8686c4b96a5d268dc503701ee661555c569a92c71ad1042daf844fd64a

Observation b122ed1d-e2c2-49fb-9406-8492e83655dc · outbound

This paper cites DreamClean: Restoring clean image using deep diffusion prior.

Arbitrary-steps Image Super-resolution via Diffusion Inversion DreamClean: Restoring clean image using deep diffusion prior

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.526661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.123523Z digest=sha256:1becaf33232b04823e89a7e16b071f083b1c58c9e17d1aaddff0e28ff35f1071

Observation 94026f26-0637-464d-9434-650e2d0dd608 · outbound

This paper cites Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.510290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.128473Z digest=sha256:eeea70cfcd335ac8b76ed3ac96f5eaf88c5c03487f49089b3e7699346ee20f38

Observation 49187894-431a-4546-b7f0-574312957621 · outbound

This paper cites Im- proved distribution matching distillation for fast image syn- thesis.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Im- proved distribution matching distillation for fast image syn- thesis

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.493706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.133227Z digest=sha256:0c0e891083c31d7385279ccde6c8564f10272ff2b6ce77a1f34dc26c6aca3ef6

Observation 92841ab1-a143-42a5-b60d-13a2b51066af · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.476022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.137986Z digest=sha256:c4d35151745fdfd03388a97f8b530529c073a5306b1318fb8daf89224519fb8d

Observation aa7ab7c3-a250-44dd-87ba-830dafddfe4e · outbound

This paper cites DifFace: Blind face restoration with diffused error contraction.

Arbitrary-steps Image Super-resolution via Diffusion Inversion DifFace: Blind face restoration with diffused error contraction

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.459928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.143514Z digest=sha256:da8f5a0581e5c75f522700f54f13c4ca8c10a86ac344d431bb4faf990c0bc6fa

Observation bd76bb97-ec1d-40ff-8ad7-6a0ff2db8f0a · outbound

This paper cites Resshift: Efficient diffusion model for image super- resolution by residual shifting.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Resshift: Efficient diffusion model for image super- resolution by residual shifting

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.443721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.148338Z digest=sha256:bce4b34fce34211518a23220f5b67c6271926c2f72451cfc49262fbe20f70453

Observation 2b7b799e-e4c8-4a62-9cb0-c918a340e153 · outbound

This paper cites Effi- cient diffusion model for image restoration by residual shift- ing.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Effi- cient diffusion model for image restoration by residual shift- ing

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.426107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.153453Z digest=sha256:959e1b0d0fcbac101ae02cc6278837f0370213037f2b6229098ab8db99c7a955

Observation 26e9a8d0-f870-40aa-8d50-a44856468b51 · outbound

This paper cites On single image scale-up using sparse-representations.

Arbitrary-steps Image Super-resolution via Diffusion Inversion On single image scale-up using sparse-representations

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:27:45.407861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T17:27:45.158217Z digest=sha256:d156bc2a521a8e7b3382826848213f244238e6f83601e6b5ebde66d4e2dd377e

Observation 476614be-711b-4edf-b5e8-18e3b6912f25 · outbound

This paper cites Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T17:27:45.163062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ccd35e12-7430-4500-a29f-aac4867d7249 · outbound

This paper cites Exact diffusion inversion via bidirectional integration ap- proximation.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Exact diffusion inversion via bidirectional integration ap- proximation

Reference 72

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Observation 9367e0da-c858-4f86-94b5-a49fef0b81d0 · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

Arbitrary-steps Image Super-resolution via Diffusion Inversion Designing a practical degradation model for deep blind image super-resolution

Reference 73

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Observation be33eb62-0736-45ba-8166-7652188802c5 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Arbitrary-steps Image Super-resolution via Diffusion Inversion The unreasonable effectiveness of deep features as a perceptual metric

Reference 74

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Observation 079ffb00-2805-41c4-ad68-07d274b6c3aa · outbound

This paper cites InvSR-Int.

Arbitrary-steps Image Super-resolution via Diffusion Inversion InvSR-Int

Reference 75

Resolution
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Pith citing papers

Observation 551ddaa9-09a5-4dc2-aad8-5e4e94b4070d · inbound

ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing cites this paper.

ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing Arbitrary-steps Image Super-resolution via Diffusion Inversion

Reference 29

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Observation a2eb9f5e-8ab7-4548-8276-99d0233d8720 · inbound

Physics-Informed Graph Neural Networks for Frequency-Aware Optical Aberration Correction cites this paper.

Physics-Informed Graph Neural Networks for Frequency-Aware Optical Aberration Correction Arbitrary-steps Image Super-resolution via Diffusion Inversion

Reference 53

Resolution
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arxiv_id, observed 2026-05-17T00:43:45.241582Z

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Observation 5fabdcb3-4565-41ea-a817-17cafab7d6e3 · inbound

VOSR: A Vision-Only Generative Model for Image Super-Resolution cites this paper.

VOSR: A Vision-Only Generative Model for Image Super-Resolution Arbitrary-steps Image Super-resolution via Diffusion Inversion

Reference 53

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arxiv_id, observed 2026-05-13T20:33:14.582843Z

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Observation fcd01ae6-6b93-47d1-bbee-b38d8fbf8189 · inbound

WildDet3D: Scaling Promptable 3D Detection in the Wild cites this paper.

WildDet3D: Scaling Promptable 3D Detection in the Wild Arbitrary-steps Image Super-resolution via Diffusion Inversion

Reference 65

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arxiv_id, observed 2026-05-11T06:26:00.471422Z

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Observation d7038054-482f-4e66-bd6e-71276c464f17 · inbound

QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks cites this paper.

QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks Arbitrary-steps Image Super-resolution via Diffusion Inversion

Reference 58

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arxiv_id, observed 2026-05-22T06:36:10.243784Z

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