Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

Resolution
unresolved
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=sha256:74b33e7181693521095693f1eb17891f2927d56fd0e3d13d37d62a04e77077a0

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

Resolution
unresolved
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=sha256:5d62f24f10ac554179bdcf75cebb54333cf6d8645ad2f9988906441a9710f049

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:08.055415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.055415Z digest=sha256:a9a10f5aba3e24473cdd99abbebfb2fdf797f91b5fd0a7cefafabf22a301712a

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

Resolution
unresolved
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=sha256:2f458a94ff5558dee5d1aceb34b1e4e264d3fdea06b9fc450d03bbf8e7cc64e6

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

Resolution
unresolved
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:e588c12f8f57566821d95582b49bcd25a76e2494525203e0bb349b716bd661ee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:08.285877Z digest=sha256:e48272dc67e0757213a1bf4d7827fa26c8dfe7693888a312ea6f74ef27ce59ea

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:08.370301Z digest=sha256:c928656af25a429da4c187684dfb589bf18d53eab2b88f06f16d1a17605ea5b1

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

Resolution
unresolved
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:b349fd0dcc12fc9c9be7ea9db7e7d0bc54ee2bd235cbe12b50913c442b731ac9

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

Resolution
unresolved
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=sha256:7b0936c69c88db421e03c8b3fa153c8025b55acadbbf569d8615b43062183c51

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:08.587919Z digest=sha256:9e4e70cdbd2a3c468ea9d6db47da1867a989dc860e283905aa109a11e6d5473e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:08.651200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.651200Z digest=sha256:19276700d2c6237c7f4e342366839c2330a3c94fdea011f519570569e663ed5b

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

Resolution
unresolved
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:f9fde25169ac4b27c4930f435b5fa00c25f858b26a65d9d463d3c50bebbbc7fe

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:08.777862Z digest=sha256:63133866ffbd12512261d881edd62f4e798e9e9f5a7b0d1f784037787544379f

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:08.838156Z digest=sha256:eb36f5f09b4e63e76b7887a5d2e87c128705f227a93be63b53116d0608439bc8

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

Resolution
unresolved
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=sha256:8a494d4ecb877f48de09b8c1f4deac761c12da8ecefe12165a17d28e63452a5e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:08.982158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.982158Z digest=sha256:54b3900cffe56fbc1b78da1fdc2b28ed2686946b771f62775a939399faa1983b

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:09.038064Z digest=sha256:c636b9cb17926f5d6e0bcfb204ddb1c05b57c27e8186ac5963c36c0f29581773

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
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.082724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:09.117635Z digest=sha256:4fd1cf01804bc0d7174aac7720a102a857637c6fe9f22cb307d7887151dba1ff

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:09.186736Z digest=sha256:06f6cbc5aac483edc97fe0140b36dc6d136e91af4bf1334601f3412e629db3a7

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:09.259942Z digest=sha256:beb418b504fa38a4a6aea7a3862c6cd364eb9fcd3764b0a8656aeb4cb54db46a

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:09.338340Z digest=sha256:663837fe69e1d1a8ace8a03769776fd30e54a2d850437d3bf6322a35ee60be6e

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:09.507588Z digest=sha256:4f5103d394e799d9b6ca4ecd7a072d7c577041452a2b123b6afcf7e07e90d74e

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:09.636102Z digest=sha256:f3420628606cee33c6d388cd6b9bce896dff08bc8a773441e1f528a451886308

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:09.837743Z digest=sha256:80107cff144580bcbe49ccf3b1526a6357852e58ba38ff0c4d30da8b8387e198

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:10.034465Z digest=sha256:ce23b858b810c191d631dc7ff953101336e40d3851932c7b6f8648330e424015

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:10.257652Z digest=sha256:23d138fc95b2ca134c1db6b60dea9decbde04a74c4984099408149d811f20feb

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:10.416078Z digest=sha256:4cfcbcc21ffcad3040264e1b641b2d1e8b517149c801f7ff19eadc58816b29ca

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:10.642847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:10.642847Z digest=sha256:f20336221b618ca52d7e5768027a34ad0d28348650fc995c6278b13997cb7a99

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

Resolution
unresolved
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=sha256:108cf73c7480ca8a1226e830788de4a2db174728361e4ce2e827b8c1d34bf9b9

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

Resolution
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=sha256:741148051a271e9194700b0d98ed14bc8ab2211dfc079a99226a4dfa6078e0bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:11.103548Z digest=sha256:52da445afae6afdebf5313fc29f8c9bd06870177c9036e2d9735e18bd28d8897

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:11.226644Z digest=sha256:df8d8c5832f527d50bc0975659d6a03642ab4a72b78d38a54fd08873dcf53800

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

Resolution
unresolved
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=sha256:74009deb870db422f1d21e80c590fcf6c0fb770e506630335a6680e6b7da9d07

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

Resolution
unresolved
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=sha256:9c5e9b8dbb735c5ef0d269b6ffa6581c560c2310039b986fdbc54bf22fa75238

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
unresolved
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=sha256:03d700f5c5956ff64e7aae1eb563ce3ec6f1ebc6657b839977d5cd8214af5d69

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:ecd014c94a5bebdb5915d353df50f033b51b557fffddd7a128aed9538ffe8de9

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=sha256:7c78017b5419d24eddf7cb9ce21341bc20307020793bba60febe9c3fc4f551a4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:11.901461Z digest=sha256:b8af79a9a0a4eeee5937e06bb00da23c39a65472f8146a132e4513fdca44cda8

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=sha256:2917459374f0ef25465f5c9352818a4b47cdba5880b4796f40482b9232d9182e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:12.052036Z digest=sha256:86e434f4140726363e7871158ac9d131337474842ae80e2a179082286ad3a9eb

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=sha256:78c7e5d9fc9ecd884c4d63c3d51d4bd618b659e66a5e562ef6106c34779df5dd

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=sha256:8d7d7bce9c4ab46187b11a1110dc130ac032f15e01b9c0ff34809ea82e4247ef

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=sha256:79ccb4a1e26ee7f5162108525f234ceb9df71227df83c76e41d0b03d3d123dd6

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:c67c329557e7eac429f0800f941962ae1b7975ddc564be9c895d1234194c8913

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:12.549637Z digest=sha256:c9b2e69a03f43b34c8c401a6c41e97f79b2297db2a2c4e6721f9951aac34886b

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=sha256:6778e40f4192fb7a5b49c35c6f0aeca14271bb03150e02d96e71d0242c68046c

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:c71e6f765b4c8afb16c7a8ce63d2d4300178431641d20ccf8091487bcfb31a43

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:12.843977Z digest=sha256:88a5c407df906bdbd687bc20c467a11e84752b5e5e49d6df8e60cb20f4feb638

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:12.958714Z digest=sha256:b31df6ed378e30d6bb2adef1b538ab1568ca549b6ba7141fac63895d4f02aa1a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:13.022472Z digest=sha256:78df7ac90ba474b85ad00e7e300ab86293b2f30281dbcbcb320288e56da918ab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:13.115611Z digest=sha256:1df62af6c51d0e73a8dc7153e6c6603efdb04d00c1aafb661ba75aa6f1907d8e

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:fab764407a2aa4e39ae33ba40e281c0b2d11008b1fafc7f24de514c3f5b06d0c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:13.292503Z digest=sha256:c7053ad07f91c73cd5b6822a5e25660c26c11e875d46995771524b6089c8b3b2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:13.397851Z digest=sha256:8c498499eb1f2789693adfe29c5ec3d9edec367b595dd5a4e3d2076158a2b64f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:13.469802Z digest=sha256:3e1eaf0b471c097a7a68c1ab3c7a269d8e0c66d32e4178d5d8d2371395755eaf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:13.537462Z digest=sha256:d7406b9c3d577e3fa0e7de4b3f975bdadfb77ff0e00d3f09dc51e5717b436423

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:13.659577Z digest=sha256:a3d9f495923470f80c75b0533ec7f4918a683b2b206aabe4e1272a1a3ea2e243

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:fcb4cfc0740dfe453d87f06f8bab322e7ac0fd7b51a34b190be2cbe6ab095240

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:13.883488Z digest=sha256:55b4d0389f946be60afb32383f05d7b5e8cef112679ae746806e9af96becf59e

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=sha256:1d48fcbe9e2c90144e679e9dfeca67e242c075050e7be5a23c816dc50f9786b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:14.059561Z digest=sha256:8d1d29cfc9650780722e41c3d6912776ea1bd9865373204aedfcff4010c17ea6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:14.141122Z digest=sha256:e759ab6084123ac51d8b86eb35797d98ea6ee7af37dcb996f41c45ae5c0e6845

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=sha256:37e5135133ae2905aa7378d9e25111bbe89fb986ad8df3e2af4ed71b733f13ad

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:14.398849Z digest=sha256:d9efba22ece3703835536de673753ae1b1b373be81cc40b6e14402efb9be3b82

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=sha256:93016e918f7b8eacedb6c247cb1db0a5fc7d8a30fcb2d477763a5f13ffbb0575

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=sha256:8daed0dd9781d4532d7ea4ca4361428a782413e4d03392454c972f551e4d1abc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:14.698426Z digest=sha256:440fc37911d26481a154a8b3d031b3c58308b3256b913ee9c9563b74c5da21a9

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

Resolution
unresolved
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=sha256:9c861e860c2d1c03f918c928acd2591022fc0f90fc2c7f374025719965ea2579

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

Resolution
unresolved
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:e11d109c0b6e82ad739fbf8b1281ea6a4adfe6e41b46ecbdf50f29e818a74618

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

Resolution
unresolved
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=sha256:6b7239b4ebf150a71f01bc09bf3251854478ea0a1849982562cb6f0718b10549

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

Resolution
unresolved
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=sha256:219f5f328f09264c4c1a14bfb91e5e1a84e72e302f5712f7eaeb3bf020b92850

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

Resolution
unresolved
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=sha256:2f325c7a6c9db1bde503f7ef70574fa17a9899217ed4cb74dd8636ca72f7cee2

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:15.229868Z digest=sha256:7cbfa5299b026127d6a3eab46aefa5253293719642c9f9cfddfaba7dbde169c9

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:15.318256Z digest=sha256:9d6d2bbf7bf3971c345464e7b426c7aa7cf09efd0cc39685cd3ccff2a2dfd303

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:15.440358Z digest=sha256:1371168eb24eda4e9b75832a5892ec6a7858ae82fdf4ac9f7ca5c6d48ab94d02

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

Resolution
unresolved
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:f5df5506e59af933e6776aba2e1a6f5b7a1c17fd1dc1da76a24b05f365a59c89

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:15.608775Z digest=sha256:b28aad46e2d65990c30b31b3c47b306ba9bc6ebbf997f60ab33f9d54d345a618

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

Resolution
unresolved
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=sha256:26dda895a53e3d4163f019e549ad999771efd071f6d5cd93d6299786ad2eeb97

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:15.846699Z digest=sha256:60ee9b569f99580ef2461dcebe5880d115c3ef84e708622684ee17bdebac4e58

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

Resolution
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:defdab2c3d0a77eb9848a780cbb1454881b64326bea4b65f457728a8f5d37c44

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:36:16.009685Z digest=sha256:8796e82ebbc48b8f8de227ed5d66e6580c96732f70fd813b074b537781f266c8

Pith citing papers

No inbound Pith citation observations are available.