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Paper Citation Record · LEDGER

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation

As of 14 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2507.02299.

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

pith.paper-citation-record.v1
2507.02299 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:36:16.009685Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

81 of 81 outbound references displayed

  • verified exact1
  • verified fuzzy40
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63a7ec17-3472-4869-bd8a-72e1e5b048aa · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Zero-1-to-3: Zero-shot one image to 3d object,

Reference 1

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no resolver link, observed 2026-08-06T20:36:07.935293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:07.935293Z digest=sha256:06e644eb3c7c85192dc1c5e1db912c6af8899eac2bd8549228a18e803e5c7c3a

Observation a9f38913-9997-4e4d-aa7f-2a4a9cb1a7d0 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 2

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no resolver link, observed 2026-08-06T20:36:07.989244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:07.989244Z digest=sha256:8e0e8f1ef4ac7cb95e5a8d5a79f0e75c8f22632e8b27203980100ead50b816b7

Observation a7b21c1e-2cf3-4454-96d9-ba0f2c6639f4 · outbound

This paper cites SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.055415Z digest=sha256:9a0859d7d5292956bba221a25427cf39c3243587a636d2dad13971bae2b902f9

Observation 3d05cf6f-f272-4965-ad03-99f059c38683 · outbound

This paper cites Denoising diffusion probabilistic models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Denoising diffusion probabilistic models,

Reference 4

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no resolver link, observed 2026-08-06T20:36:08.146941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.146941Z digest=sha256:bc5456d70a57d968f336c06af3172079a0a0084ce7f245cae70b4e6e3b2fbc52

Observation 642ee429-01f0-44d1-8207-6f052b5dd949 · outbound

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

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation High-resolution image synthesis with latent diffusion models,

Reference 5

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no resolver link, observed 2026-08-06T20:36:08.216805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.216805Z digest=sha256:d9c1a2977efb8b365f2c40bc77a7a5f9bd47605600c3ec057ac168719dd8899c

Observation e3f8c6f6-90d5-4c10-9e92-7352ed93c5fd · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dreamfusion: Text-to-3d using 2d diffusion,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:23.058483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:08.285877Z digest=sha256:97ba3fde698a612b41e28a9431037a761ea4b44b5b75e2d70f2132862a32200a

Observation 2eded986-b158-4852-a027-006e2f9396d1 · outbound

This paper cites Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.891154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:08.370301Z digest=sha256:f1a1bca81baded768e3f97e190018814c268549cb7ae1c234045316be35ac3d3

Observation dabee6d1-0931-4e9a-8b53-2a6d7341295d · outbound

This paper cites DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation

Reference 8

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no resolver link, observed 2026-08-06T20:36:08.429665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.429665Z digest=sha256:cc3d6871b6a5828a8889c11bc6284fbfac54cb53c9ffb3add447b60d70e6f094

Observation d024f322-eb13-42dd-a9da-ae296e617f05 · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Reference 9

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no resolver link, observed 2026-08-06T20:36:08.503531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.503531Z digest=sha256:cc3b6a2363c93312d52e01bcfba6ff000967b80daa7858ca7631e15bb092ba0f

Observation 0afa6ff5-4db6-4ba4-8ba7-8af32ac4ef7e · outbound

This paper cites Magic3d: High- resolution text-to-3d content creation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Magic3d: High- resolution text-to-3d content creation,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.749125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:08.587919Z digest=sha256:a48bd4abc7b8e3ec9d47ecede00a70311d53badd4a345a4a1aa540cdd9808c3c

Observation 31cacbb0-74b5-482a-b2bc-5c335629a45a · outbound

This paper cites Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.651200Z digest=sha256:7089beeb64c71cede109fc49a8e101ebd034940c27f761341a86cdc947802002

Observation 028eba2e-f063-4383-8793-d307f286b592 · outbound

This paper cites Zero123++: a single image to consistent multi-view diffusion base model,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Zero123++: a single image to consistent multi-view diffusion base model,

Reference 12

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no resolver link, observed 2026-08-06T20:36:08.724067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.724067Z digest=sha256:af2dbbb6cdf57db6b4272921657aa480055545b29d394037a1705f2ffaf48d85

Observation d6326d19-a9b0-41e7-8f2f-a162a35de1f4 · outbound

This paper cites Consistent-1-to- 3: Consistent image to 3d view synthesis via geometry-aware diffusion models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Consistent-1-to- 3: Consistent image to 3d view synthesis via geometry-aware diffusion models,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.601116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:08.777862Z digest=sha256:6d9b1f81f6f595abea98f45e1946eb13e25488d80491ead7e98f204410c664b9

Observation 01ac35a6-df61-4f9b-89cf-ba1f1a97df67 · outbound

This paper cites Consistent123: Improve consistency for one image to 3d object synthesis,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Consistent123: Improve consistency for one image to 3d object synthesis,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.447379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:08.838156Z digest=sha256:49d6c8109b616f5a4fd09c44049aea22a71fed7dffa954660be223af6e3e650e

Observation b68094d0-76db-4c5c-b20c-b3c9823dbff3 · outbound

This paper cites Wonder3d: Single image to 3d using cross-domain diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Wonder3d: Single image to 3d using cross-domain diffusion,

Reference 15

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no resolver link, observed 2026-08-06T20:36:08.925877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.925877Z digest=sha256:54634603aaa291002b1eebc9b141240203728325f5343c5210052651967bdf44

Observation 6a2badbc-3910-4ef8-929f-8094f5ce6edd · outbound

This paper cites Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.982158Z digest=sha256:d6c22763b49c521a4f4be7acc5fcf1891a680569090baf6e627e60d66912a293

Observation ffcc21c5-a29d-4415-8317-e3cb9a1f0ca7 · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation pixelnerf: Neural radiance fields from one or few images,

Reference 17

Resolution
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raw_fallback, observed 2026-08-06T20:36:22.258836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:09.038064Z digest=sha256:49d3b90cfd938949fc93157a04ee317962bccfd681cee8ce759655a861693be6

Observation 0fc955d3-3734-4794-b44e-a7b018ad492b · outbound

This paper cites Sparsefusion: Distilling view- conditioned diffusion for 3d reconstruction,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Sparsefusion: Distilling view- conditioned diffusion for 3d reconstruction,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:09.117635Z digest=sha256:56004c408fb03bc63552304ba0489610b780932059c90c1c539802537258e4e9

Observation b05f1690-0712-4bf6-a411-9cc206f1cc0b · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,

Reference 19

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raw_fallback, observed 2026-08-06T20:36:21.907941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:09.186736Z digest=sha256:0480af5a2ed7ba4a8541b2a66743d927e5fd6df1a214f6293be83c84098545de

Observation 0b44f41a-577f-41bc-bee4-51e8fd189043 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Efficient geometry-aware 3d generative adversarial networks,

Reference 20

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raw_fallback, observed 2026-08-06T20:36:21.747857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:09.259942Z digest=sha256:6689d93ec31607d79d3bf7da5e3fcd354f81f016083ddd7b1f56d600c3c5f76e

Observation d520de30-ee7d-4301-96d4-64437dc0d5eb · outbound

This paper cites DreamComposer: Controllable 3D Object Generation via Multi-View Conditions,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation DreamComposer: Controllable 3D Object Generation via Multi-View Conditions,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:21.552929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:09.338340Z digest=sha256:5a49755c1b71bdab2fa55ed2a3195bd2d9421c99d105e0c663b5b6ca01ff4696

Observation 287e3fd2-7044-4e4e-8210-fcdbe4569a31 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 22

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raw_fallback, observed 2026-08-06T20:36:21.408413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:09.507588Z digest=sha256:757079e8332dc057f32f759625ed54107d709297aa83fc04333c78ab442543a0

Observation 39a38af2-d05a-4184-9e85-056a3712a08f · outbound

This paper cites Viewformer: Nerf-free neural rendering from few images using transformers,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Viewformer: Nerf-free neural rendering from few images using transformers,

Reference 23

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raw_fallback, observed 2026-08-06T20:36:21.273086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:09.636102Z digest=sha256:7d7f4531a58c2c950b297b539cb46203034c4714afa40b45d342439e0042c2b7

Observation 4a21cfed-b1bf-4547-91c1-85d5a53d7717 · outbound

This paper cites Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion,

Reference 24

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raw_fallback, observed 2026-08-06T20:36:21.082665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:09.837743Z digest=sha256:460f3a2655f2e845bb8b2a3d2b8cf4f8cc4c99221e431a31a5626002a5798911

Observation 2812b12c-592b-44f5-b616-4f45708a429f · outbound

This paper cites Photorealistic text-to-image diffusion models with deep lan- guage understanding,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Photorealistic text-to-image diffusion models with deep lan- guage understanding,

Reference 25

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raw_fallback, observed 2026-08-06T20:36:20.901751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:10.034465Z digest=sha256:e90e213c36819c767f2b1ae83e20acdf0bad55e559edd958a93730d7eb8911aa

Observation 0a40c5d7-7a5b-4d0a-a0cc-50c6b33dab7a · outbound

This paper cites Objaverse: A universe of annotated 3d objects,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Objaverse: A universe of annotated 3d objects,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.694167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:10.257652Z digest=sha256:3bb9e355882eee06bc0a29e67dd4783a41d224e3cdcd33510f74e6c30919337b

Observation dbdcf1e2-c763-4634-bf27-ad925de07884 · outbound

This paper cites One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.588239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:10.416078Z digest=sha256:ffb37a2190aa2ce5ed5212c795a3b9c7d34998531e048d3c54d5021c909adc6d

Observation d368a46f-74d4-49a0-86fd-cc0b2ca8c122 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:10.642847Z digest=sha256:3a213217da26923d4798e462ee0b75b12fd99edb7fe93293db3689e097e55c6e

Observation f78eb95f-dcc1-47ca-b398-ef71a0aa5707 · outbound

This paper cites CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Reference 29

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no resolver link, observed 2026-08-06T20:36:10.852113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:10.852113Z digest=sha256:e562c076a778c257d2680fbdcf0c42ebabe7468b0735490fabb385f6626088ac

Observation a3dfc322-d8d3-4117-9f9f-65cf38118ed7 · outbound

This paper cites One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

Reference 30

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unresolved
no resolver link, observed 2026-08-06T20:36:11.001799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.001799Z digest=sha256:d7eb08da41a25b2cfa24838c35bb3424729516e4ad3d106918f97df1615ff59e

Observation 38781489-a5b9-4185-8c2e-8fec124476d8 · outbound

This paper cites Cat3d: Create anything in 3d with multi-view diffusion models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Cat3d: Create anything in 3d with multi-view diffusion models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.411882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:11.103548Z digest=sha256:3464eeca95ec7893797eea9b4979b8d2d02718609c8c97229fce17af73e6cf31

Observation cbffd964-ca57-4797-8d96-35c59277941b · outbound

This paper cites Free3d: Consistent novel view synthe- sis without 3d representation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Free3d: Consistent novel view synthe- sis without 3d representation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.263815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:11.226644Z digest=sha256:e03656009a5764f791f16b3e4a5c6a35dbe30518376aa9e1af1d05758f62af3a

Observation 01914995-5d32-4424-a4a5-b89a07ff9f79 · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 33

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no resolver link, observed 2026-08-06T20:36:11.329493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.329493Z digest=sha256:c0112b46ac8c06cdec4636545ce2083fb8392aa69c2a3cb8ec2d15aa5ba11d0a

Observation 5824f750-6dd7-4a7e-bde2-4c2fc3738758 · outbound

This paper cites TOSS:High-quality Text-guided Novel View Synthesis from a Single Image.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation TOSS:High-quality Text-guided Novel View Synthesis from a Single Image

Reference 34

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no resolver link, observed 2026-08-06T20:36:11.444011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.444011Z digest=sha256:cf5ed941bc5723a073c1470553d0f90e56e9e6e4b1363a8598b0f5625ca75e0a

Observation e420fe73-b13a-4f95-913d-a366b5288737 · outbound

This paper cites Novel View Synthesis with Diffusion Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Novel View Synthesis with Diffusion Models

Reference 35

Resolution
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no resolver link, observed 2026-08-06T20:36:11.560252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.560252Z digest=sha256:b115e2ed78e56c2538273e7fbe6a988a9980c5a4d7b5ef8728c6e081029e54df

Observation 9b62c02a-c819-4095-b86f-80349633d990 · outbound

This paper cites Generative Novel View Synthesis with 3D-Aware Diffusion Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Generative Novel View Synthesis with 3D-Aware Diffusion Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:11.696950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.696950Z digest=sha256:5196dce74611612510aa7a9b949bff8736b209a4a3f6500fd5f75be221dbc0c6

Observation b74e62d7-f288-4291-8e15-fe0ef834378e · outbound

This paper cites Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:11.811280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.811280Z digest=sha256:55c0b991c444db6d1ec3d14a52dcacf7a4048be054308b54cc43a67cf9ab97e6

Observation 6ecdc936-6712-4d3b-a239-7825640e89ef · outbound

This paper cites Dreamcontrol: Control-based text-to-3d generation with 3d self-prior,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dreamcontrol: Control-based text-to-3d generation with 3d self-prior,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.069329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:11.901461Z digest=sha256:cd42da69a3bd2f63900048893424e4afbfe3b5726dd10e95a3c1faf92bd17b97

Observation 08fcfa03-a66c-4b85-b506-55a378ac8805 · outbound

This paper cites SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:11.995161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.995161Z digest=sha256:4d03d9470fc79b383bc8858c1ae1ce2e3e31e0cbd1e6139bf348464b3186c2db

Observation 066e9840-66a9-4d49-acf5-c6efc98af055 · outbound

This paper cites Dreampolisher: Towards high-quality text-to-3d generation via geometric diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dreampolisher: Towards high-quality text-to-3d generation via geometric diffusion,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.859717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:12.052036Z digest=sha256:05730794839698be5abf1798869b93d7cb297fb57568ea580f7c62f285c9ea82

Observation 4fb51216-8e2e-4987-9b03-0a8eea2c7930 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation ShapeNet: An Information-Rich 3D Model Repository

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.132706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.132706Z digest=sha256:955797d094468c28c0a8c9986ce21c5bdaaed555a4fdd11e4a6ed819120dea12

Observation 327c457e-8510-412d-a191-8f18e13fc979 · outbound

This paper cites IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.181522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.181522Z digest=sha256:14bd133ececc3828a46a348c5abae5c0b88c8f173c0489c388e767ef3b98e1b3

Observation bdab29b9-e02a-4f5b-aa5c-4d9fc818a4b0 · outbound

This paper cites VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.378582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.378582Z digest=sha256:b20636195d4acce2f04f1eec895994fda58c7ca40c82967065e4086eb28a78c7

Observation b1c9d018-5822-4c41-a235-30427e2df6eb · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.477764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.477764Z digest=sha256:73e9d92cffa9cae2f993ec1d06a46ec0640fd7afc5af19bf489c9041dfd8987b

Observation 8c9f2085-3945-48c1-a641-62ea8988aee3 · outbound

This paper cites Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:36:16.387679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:12.549637Z digest=sha256:088bf9a8a9e16a35bd7919a1b9e96feb93791d8f8ac86c3f9d75975fb47c6cdc

Observation c0e56fde-4a08-4373-8b23-1a49bdf595fd · outbound

This paper cites NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.626025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.626025Z digest=sha256:5b614790ded62ec190572b7b874b4a6fa342951a9d1a9f267d0d4b90fb56cd77

Observation 90cbf2c7-03b8-4f85-b98f-309fbffbeff5 · outbound

This paper cites Shap-e: Generating conditional 3d implicit functions,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Shap-e: Generating conditional 3d implicit functions,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.708911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.708911Z digest=sha256:c950f0277a4b94cb96afc3f5d89e9e23c70d3079e5fc092015be6bdf749fe8a6

Observation d2d7cf4d-20f0-46e5-9e5d-0c3818766cb1 · outbound

This paper cites Point-e: A system for generating 3d point clouds from complex prompts,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Point-e: A system for generating 3d point clouds from complex prompts,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.693462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:12.843977Z digest=sha256:d97d8be80ee3e45da742b5e922ef32e06f49cddb3ce3289eb5333185376abde2

Observation f6842781-19c0-4c71-ad97-7f4be35166c5 · outbound

This paper cites Rodin: A generative model for sculpting 3d digital avatars using diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Rodin: A generative model for sculpting 3d digital avatars using diffusion,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.533588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:12.958714Z digest=sha256:64d73af57bd6af7bc3ff1099dadfcb6b4d3546498738668b0d7d5871f155a02d

Observation 92a3b1bd-c009-42ad-8e36-399f07aefcc8 · outbound

This paper cites Diffrf: Rendering-guided 3d radiance field diffu- sion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Diffrf: Rendering-guided 3d radiance field diffu- sion,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.403755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:13.022472Z digest=sha256:c3b437624f30a88ddfbe38b4f05132c57b98ad442c18c3e61faf61935ca84208

Observation da06f34c-f3a2-4709-b041-14756d7b76ad · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Latent-nerf for shape-guided generation of 3d shapes and textures,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.223638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:13.115611Z digest=sha256:17aab162f8c55e72def14be1671991b4c2ab6f65140ced059053e7f19904aff5

Observation 05aea156-2621-4c02-9314-ee2632ae8d6a · outbound

This paper cites GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:13.196996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:13.196996Z digest=sha256:a7a6a694f4b288741ae8437eb743a3a3edd05bc97a4f6424465c9a99605ac473

Observation 29698f3b-78e6-44a7-8b00-d0d535de2427 · outbound

This paper cites Consistent3d: Towards consistent high-fidelity text-to-3d generation with deter- ministic sampling prior,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Consistent3d: Towards consistent high-fidelity text-to-3d generation with deter- ministic sampling prior,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.055320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:13.292503Z digest=sha256:f61583a050ce711870dc55ff5f9ecab2d8666c6be054cef4f7950a24f20ae5e3

Observation 9bf5d421-ec1d-4b1d-ae4d-22f3f0310942 · outbound

This paper cites Score distillation sampling with learned manifold corrective,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Score distillation sampling with learned manifold corrective,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.906255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:13.397851Z digest=sha256:1c865256012361535d1d11d6acdf64764071a5f99b06698d9378eb6c63abb533

Observation 16840d1e-753f-40eb-a4bc-84353981e0d7 · outbound

This paper cites Stable score distillation for high-quality 3d generation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Stable score distillation for high-quality 3d generation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.703636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:13.469802Z digest=sha256:83b4c3ec4306d54e3b14e36e789897c78d1fb59a668d3d31d6acf7413f84d977

Observation eb61c5a1-1952-4922-a92f-86b614e9541e · outbound

This paper cites Dreamview: Injecting view-specific text guidance into text-to-3d generation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dreamview: Injecting view-specific text guidance into text-to-3d generation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.581408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:13.537462Z digest=sha256:a5ed753063fc7f4806dcd1a9d06a80a78d99f5ed49bc7d8212c779231b9d42a0

Observation 2e4df6f4-2720-46a9-9b7a-f0e9352554dc · outbound

This paper cites Real- fusion: 360deg reconstruction of any object from a single image,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Real- fusion: 360deg reconstruction of any object from a single image,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.464564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:13.659577Z digest=sha256:1a2d06f3a024b2d452935f1b1957ebaf90d0606f26e4f4346a83ab9c4eb310f1

Observation 46bdb9b5-694e-4dcf-9b2e-4d2cd791cf69 · outbound

This paper cites Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:13.777998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:13.777998Z digest=sha256:00d60260c4108df52339c1f6719366b4cbce60fdc0d7a75e4f3fa98ad4a1da92

Observation 66b2fcbd-4fe8-4b70-9a2c-394b94681025 · outbound

This paper cites Neurallift- 360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Neurallift- 360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.360635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:13.883488Z digest=sha256:4553a2a94fe05ce8adb8c218d4d530f085a1db6d0bd0fd717611d62e757e03ff

Observation 4494e53d-0071-47e0-98c3-bb8312a6d26d · outbound

This paper cites Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:13.967864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:13.967864Z digest=sha256:d6943b0d3787b693404227a00c79a44c0d50a0f8a1b0c3f2b64b8b8994245498

Observation 131d1012-a881-4023-aa25-0223705b28ec · outbound

This paper cites Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.257956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:14.059561Z digest=sha256:1c7a277ce980da7c5e9182023f23807b2a000ab0e130fe0d9b302b4c16363858

Observation 0a7131f3-67c3-4cd6-b882-a2afa1fc4b37 · outbound

This paper cites Neurallift- 360: Lifting an in-the-wild 2d photo to a 3d object with 360◦ views,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Neurallift- 360: Lifting an in-the-wild 2d photo to a 3d object with 360◦ views,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.122534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:14.141122Z digest=sha256:3a6a5701f84d96a0e35b2890403c8bf7191f4296567395e77e680ef500beef1b

Observation a58a1f33-0d1c-488b-bb9f-6f9c8e5d6b0d · outbound

This paper cites DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:14.265427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.265427Z digest=sha256:d95e3ba21d0cd1f618dde098117e3c6e81b12c2bff70878eebd48f0ab5e4faac

Observation cc834f65-5d59-49a1-9840-dd426e6b263c · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Meshgpt: Generating triangle meshes with decoder-only transformers,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.023160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:14.398849Z digest=sha256:28e59c1580112fd8912797b8f919b1ad3f1e611aa4f58a0ec8e1459c7af73978

Observation 7deb0e46-1638-4b92-86dc-00840ffb8c68 · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:14.544181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.544181Z digest=sha256:cd224ccc99022493c4d5b46c39dad8345ef3f63ffbf59ffb128a696fd6c843ed

Observation 7202fb03-eb99-4851-bc09-9a4f5b12c945 · outbound

This paper cites MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:14.627668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.627668Z digest=sha256:f6a317ac8df503a0d1ddd768fb5eff73e69936cd86519031b0502977c51be3a3

Observation 69d09c1b-5f1b-4a58-a85b-f61fc7af27ca · outbound

This paper cites Meshxl: Neural coordinate field for generative 3d foundation models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Meshxl: Neural coordinate field for generative 3d foundation models,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.893106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:14.698426Z digest=sha256:ecac5817db298ec05b901ba812e10af7e0497cc828f6d83e249ae706f774482e

Observation 6df501ec-dcc5-4c83-876c-f705d24734ef · outbound

This paper cites Scaling Mesh Generation via Compressive Tokenization.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Scaling Mesh Generation via Compressive Tokenization

Reference 68

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no resolver link, observed 2026-08-06T20:36:14.765792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.765792Z digest=sha256:8c24b055b62a8c8d364567ca34f837baf0189eafd6f2939b7727a88f40f95481

Observation 95476c95-d459-4537-91ea-e6de872863d5 · outbound

This paper cites EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation

Reference 69

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no resolver link, observed 2026-08-06T20:36:14.853017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.853017Z digest=sha256:bcab7309c4b752a3a5606ebd382d717b53675a846b9fce2e6710c5e09a99b45f

Observation 9fb706bb-a574-4fe0-8fab-02dbebc625c5 · outbound

This paper cites Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale

Reference 70

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no resolver link, observed 2026-08-06T20:36:14.966386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.966386Z digest=sha256:e42889e6aaa2afdb682f63466280501c05c4c3a6412c5ff77e917608b225b612

Observation df34c991-a5de-42a3-89f9-d01b51622867 · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 71

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no resolver link, observed 2026-08-06T20:36:15.051565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.051565Z digest=sha256:966d2ebda0bc01977a87a303424957b16027e28421fb0a685bc48533d7e4b7ff

Observation db7a27dd-6959-4f2c-ac9a-3513722bc413 · outbound

This paper cites LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

Reference 72

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no resolver link, observed 2026-08-06T20:36:15.156265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.156265Z digest=sha256:377da162330c2ada7cdb6b3de23657de1834760d752f39c76f823ea77dd6b2df

Observation abee1320-8412-4140-8956-452ca0f4eefb · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Instructpix2pix: Learning to follow image editing instructions,

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.695500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:15.229868Z digest=sha256:c0e50b7277e0a2a8045f37bc6437e6f2370f4e239ff2858993ce52423bcc1cdc

Observation 73f419f0-acfc-4d9f-9217-f223aad9d044 · outbound

This paper cites Drag your gan: Interactive point-based manipulation on the generative image manifold,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Drag your gan: Interactive point-based manipulation on the generative image manifold,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.515046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:15.318256Z digest=sha256:dbba56a871a2bf522355010bb0ff20f68da2617967f64acc674126e861d26f5e

Observation 0837017d-d1c8-42fb-a6de-bd04dca4ae59 · outbound

This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dragdiffusion: Harnessing diffusion models for interactive point-based image editing,

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.373905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:15.440358Z digest=sha256:f84723f9999e5ddfd0b9ad057bd160d54ac1f33cca8e8f278ca91f772985ceeb

Observation 25e4691e-7fb2-452e-8ee9-f6ba1fa8967f · outbound

This paper cites Google scanned objects: A high-quality dataset of 3d scanned household items,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Google scanned objects: A high-quality dataset of 3d scanned household items,

Reference 76

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no resolver link, observed 2026-08-06T20:36:15.508471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.508471Z digest=sha256:3c998e0b3f4feabb7c246e5b6f2cb41656e59a53de621248eca03e5f064f8730

Observation 54b3a2ce-6f9d-4e27-8305-532cdd95b1f9 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Image quality assessment: from error visibility to structural similarity,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.161296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:15.608775Z digest=sha256:06e520df98e62149f8fc0df619a4122c5d9592a72d1a40a5a7221aeec3d03741

Observation 5a8ba7d6-1a67-4bae-a9a1-cb3a8d3f8ac6 · outbound

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

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation The unreasonable effectiveness of deep features as a perceptual metric,

Reference 78

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no resolver link, observed 2026-08-06T20:36:15.730020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.730020Z digest=sha256:41d5a7d6ca0885970dece40911178682cb8e7d50244c49ae4f73ffdbfcb72392

Observation fc3afe56-6589-4519-aaf6-2509a74c7a41 · outbound

This paper cites Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:16.965636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:15.846699Z digest=sha256:ae2ab97b8f0b532b53b3012e80f7c5c55de8df5bae044d89c4dd6f9722b155ed

Observation bb1195da-673e-4f4f-987a-fe056ed8f73c · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Adding conditional control to text-to-image diffusion models,

Reference 80

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unresolved
no resolver link, observed 2026-08-06T20:36:15.945000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.945000Z digest=sha256:eacf1c3f666acccc57d65d938982fd43baed3a52843434dd2b5489206036e7d2

Observation 373549d6-9f5b-41fb-bbbc-97d4a80c2888 · outbound

This paper cites DreamWaltz: Make a Scene with Complex 3D Animatable Avatars,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation DreamWaltz: Make a Scene with Complex 3D Animatable Avatars,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:16.799801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:36:16.009685Z digest=sha256:2f7828bcb725ee8cc388237b9f690e50b8b3ec8884fa46b2629ad7e373f41893

Pith citing papers

No inbound Pith citation observations are available.