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Paper Citation Record · LEDGER

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 0 inbound Pith citation observations for arXiv:2608.04701.

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

pith.paper-citation-record.v1
2608.04701 v1

Coverage vector

measured 100 of 123 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:39:33.523972Z

measured 100 of 100 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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 123 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved76
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  • malformed identifier0
  • metadata mismatch0

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Outbound references

Observation 769d24f3-4276-47ab-bf58-0a41c1a8b5b5 · outbound

This paper cites HyperReel: High-fidelity 6-DoF video with ray-conditioned sampling.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models HyperReel: High-fidelity 6-DoF video with ray-conditioned sampling

Reference 1

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Observation 8fe0dbfc-1477-45e3-8e98-c7ff9caec63f · outbound

This paper cites Vd3d: Taming large video diffusion transformers for 3d camera control.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Vd3d: Taming large video diffusion transformers for 3d camera control

Reference 2

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Observation 58fffe63-7d21-4a44-940a-2446f34cd810 · outbound

This paper cites Recammaster: Camera-controlled generative rendering from a single video.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Recammaster: Camera-controlled generative rendering from a single video

Reference 3

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Observation 2d13d07f-fc27-4ad6-a401-44441acef3f1 · outbound

This paper cites Syncammaster: Synchronizing multi-camera video generation from diverse viewpoints.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Syncammaster: Synchronizing multi-camera video generation from diverse viewpoints

Reference 4

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source=pdf_text observed=2026-08-06T18:39:25.584804Z digest=sha256:760fc8e89ac2656cd898db66390002e5876f2045db63d52c50129ef833f12277

Observation c850955e-a832-4f73-b448-a4c2c64ee766 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields

Reference 5

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Observation 4c37c0fe-f8ea-425e-adac-7c4a6c747565 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 6

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source=pdf_text observed=2026-08-06T18:39:25.758785Z digest=sha256:ea1a97af26dfc887406c011e4d79487d841c104838a455d3ef69de8baa4f0168

Observation dee55b3a-b20b-4ba0-9a50-e50b47f54f1c · outbound

This paper cites Zip-nerf: Anti-aliased grid-based neural radiance fields.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Zip-nerf: Anti-aliased grid-based neural radiance fields

Reference 7

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source=pdf_text observed=2026-08-06T18:39:25.848067Z digest=sha256:d5c87c800e0b2a23c76df3b53f8729db95735a7ba4191286b44f16259a87da86

Observation 86ae3955-174c-4a0e-bc92-fa54fda7bed9 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 8

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Observation 468aa9ce-c49d-4f7f-9434-4c9d4327bc47 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Align your latents: High-resolution video synthesis with latent diffusion models

Reference 9

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source=pdf_text observed=2026-08-06T18:39:26.032055Z digest=sha256:f8016019b9ad63b2e02dcdf7f7f7eae98008536fc483ee19fa8dacbc86932eba

Observation 451a9d82-aa24-47e3-ad7d-324be47c485b · outbound

This paper cites Video generation models as world simulators.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Video generation models as world simulators

Reference 10

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Observation a81e46f1-751d-4f63-96af-00b4be64830e · outbound

This paper cites Hexplane: A fast representation for dynamic scenes.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Hexplane: A fast representation for dynamic scenes

Reference 11

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source=pdf_text observed=2026-08-06T18:39:26.241951Z digest=sha256:3768665306818f17828b8a3cc88185d3e6b9b921dc6d744fef090dc1be0325fe

Observation 486d6bec-ffb2-4397-ab75-b1cce53f4cf2 · outbound

This paper cites Uni3c: Unifying precisely 3d-enhanced camera and human motion controls for video generation.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Uni3c: Unifying precisely 3d-enhanced camera and human motion controls for video generation

Reference 12

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source=pdf_text observed=2026-08-06T18:39:26.328838Z digest=sha256:6585c3348b9dbf77e7e95343f7197f49c12d77f7e62ee006643249c865abf5ed

Observation 44c6ad67-89e9-49b5-ba45-6af6318db70c · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 13

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Observation 1c8e4d68-a0a9-4c4e-ae54-9eec7c072e7c · outbound

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

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 14

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Observation a1ac38ed-ec1a-4c70-8835-a89107fa843d · outbound

This paper cites Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

Reference 15

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source=pdf_text observed=2026-08-06T18:39:26.592889Z digest=sha256:abbc3a546f08dc39ec281269f92b31e3b2fb5c860f15d1dd5a94c790c6b91939

Observation 7cf94cf7-c846-47ac-8e08-cd2af6e452af · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 16

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source=pdf_text observed=2026-08-06T18:39:26.705710Z digest=sha256:0952dc114cdd03287a63d0c617483950b3a2c8f8b5fa8920f2467a82a5597e8a

Observation 8d44ce30-75cb-4e4a-b669-84c568b04b99 · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 17

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Observation a933a4d4-0003-489d-acf4-7743de4756e2 · outbound

This paper cites Cogvideox-fun, 2024.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Cogvideox-fun, 2024

Reference 18

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Observation 90bb4576-bd9d-46b2-8aab-4ccf285eef67 · outbound

This paper cites Meva: A large-scale multiview, multimodal video dataset for activity detection.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Meva: A large-scale multiview, multimodal video dataset for activity detection

Reference 19

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source=pdf_text observed=2026-08-06T18:39:27.028938Z digest=sha256:2d8dbfb22be4dc5742f300db505ef6fd7eddbb1a8b8e4e7ffad7003dc2cdf8d1

Observation 00ce304d-bf9e-4c9a-b0fa-fc9ad0599a1e · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 20

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source=pdf_text observed=2026-08-06T18:39:27.140041Z digest=sha256:c45a54099ead9e62498fc1a3f9c74d69f73c36d0ffd7fa6a95219dfd5332cd34

Observation 161ed4e1-fdca-4013-bc31-0ea89dae746a · outbound

This paper cites Ae-nerf: Augmenting event-based neural radiance fields for non-ideal conditions and larger scene.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Ae-nerf: Augmenting event-based neural radiance fields for non-ideal conditions and larger scene

Reference 21

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source=pdf_text observed=2026-08-06T18:39:27.254619Z digest=sha256:8fe9cdbd2208042f092a3cb87faca6fcdf53d5a1937ddbac87ffd823a6b4aa3f

Observation 8255a259-f316-408d-9a78-1a950ac137d0 · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models K-planes: Explicit radiance fields in space, time, and appearance

Reference 22

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Observation 2f952cd2-4d11-4e74-bea3-b380794aefb1 · outbound

This paper cites Dynamic view synthesis from dynamic monocular video.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Dynamic view synthesis from dynamic monocular video

Reference 23

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Observation 79747d4e-60ed-4b31-817b-2d46dbad912d · outbound

This paper cites GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation

Reference 24

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source=pdf_text observed=2026-08-06T18:39:27.524488Z digest=sha256:8e675441a0d206387b46c3c7fb89b62dc27b9ead618ffd8e8a3cabd7c0b30958

Observation fd5358de-745a-4376-b3f2-5d97d80925c5 · outbound

This paper cites CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Reference 25

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source=pdf_text observed=2026-08-06T18:39:27.644521Z digest=sha256:7e841c0d8343e81f72ebbb56f1431839f7ed50561139a5295877a79826d27efb

Observation ee03573d-c21c-445c-93a3-0a3de8f2b8d1 · outbound

This paper cites Fastnerf: High-fidelity neural rendering at 200fps.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Fastnerf: High-fidelity neural rendering at 200fps

Reference 26

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source=pdf_text observed=2026-08-06T18:39:27.763840Z digest=sha256:d6cf197bcd9a6116b2a64acc535190fe5fbb47917533299ff7b6ba26ed769e5d

Observation b1c86394-00d8-475e-a719-fc6abb078946 · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Ego4d: Around the world in 3,000 hours of egocentric video

Reference 27

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source=pdf_text observed=2026-08-06T18:39:27.845553Z digest=sha256:9783475a02b898d97e31990159113367cf7604dc9330e76d293285da02af9d84

Observation 9a2efdd7-a369-45fe-ba12-4790379f3794 · outbound

This paper cites Kubric: A scalable dataset generator.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Kubric: A scalable dataset generator

Reference 28

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source=pdf_text observed=2026-08-06T18:39:27.938002Z digest=sha256:d01b2dadc73dae086ffb33b111fa72ef4a6d6aacef02053ed2485c5734b59308

Observation cb473ccd-7ebf-4a5e-a291-2f8bb1472d1e · outbound

This paper cites Diffusion as shader: 3d-aware video diffusion for versatile video generation control.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Diffusion as shader: 3d-aware video diffusion for versatile video generation control

Reference 29

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Observation 998a7fb4-e8c5-4c4a-8ba6-19a0a77069be · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Sparsenerf: Distilling depth ranking for few-shot novel view synthesis

Reference 30

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source=pdf_text observed=2026-08-06T18:39:28.097988Z digest=sha256:8feb83d9eae99a50e7189822b51a831f777b33e2cfc7d84bfc259b430ccdcf95

Observation e0cce43d-e7ad-4f7d-8894-8a3bd9897fa5 · outbound

This paper cites Cameractrl: Enabling camera control for text-to-video generation.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Cameractrl: Enabling camera control for text-to-video generation

Reference 31

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source=pdf_text observed=2026-08-06T18:39:28.183868Z digest=sha256:23833691a7c378ef53067133a56155aa89b317151fa9931f94cab7d724d655a1

Observation d0f11b97-3e74-40db-9aca-165df33a9c41 · outbound

This paper cites Denoising diffusion probabilistic models.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Denoising diffusion probabilistic models

Reference 32

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source=pdf_text observed=2026-08-06T18:39:28.289068Z digest=sha256:d70821fd61d3d77ec545bc74f020dcb9055bd47e40d108fe06d3d7a5c4d3fc6e

Observation 5980f02b-83ce-4f61-a2cf-f164a8e98b76 · outbound

This paper cites Tri-miprf: Tri-mip representation for efficient anti-aliasing neural radiance fields.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Tri-miprf: Tri-mip representation for efficient anti-aliasing neural radiance fields

Reference 33

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Observation ce60f8a1-2a92-48d5-a927-09230e65782c · outbound

This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Reference 34

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Observation dc20168e-7ce9-4952-a3ef-a3f10fd3146e · outbound

This paper cites ViPE: Video Pose Engine for 3D Geometric Perception.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models ViPE: Video Pose Engine for 3D Geometric Perception

Reference 35

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source=pdf_text observed=2026-08-06T18:39:28.517132Z digest=sha256:d3139d5c438184c9aa0be0992b209e919c0d7116d8a11a7fdcc140343555d0af

Observation ec05a56c-969e-45a1-b196-578961dfac91 · outbound

This paper cites Roompainter: View-integrated diffusion for consistent indoor scene texturing.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Roompainter: View-integrated diffusion for consistent indoor scene texturing

Reference 36

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Observation 2bf6148f-3857-4b32-a54b-a66be40d8854 · outbound

This paper cites Vace: All-in-one video creation and editing.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Vace: All-in-one video creation and editing

Reference 37

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source=pdf_text observed=2026-08-06T18:39:28.705252Z digest=sha256:c268b8b4f248e0122354d5e0941da0039a990f821eac0441d2ec92c11f5a1ddf

Observation 0555b1df-885b-42be-ac8b-ab0ad77a673f · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM TOG, 2023.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models 3d gaussian splatting for real-time radiance field rendering.ACM TOG, 2023

Reference 38

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source=pdf_text observed=2026-08-06T18:39:28.773560Z digest=sha256:2e71992a94cadc2eab4a5f3708d5e32397ff21692cef3e35349f3b9a4e2ef70a

Observation 90a4c676-3bfd-465c-84b0-1b9015642161 · outbound

This paper cites STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer

Reference 39

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source=pdf_text observed=2026-08-06T18:39:28.822177Z digest=sha256:d89428e26b5fd1018dfb478582c64f9d4840e31b50fc0029722892652da9dea9

Observation 5fca4c42-65e5-45a4-b0b3-32f07d719eb8 · outbound

This paper cites Fast view synthesis of casual videos with soup-of-planes.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Fast view synthesis of casual videos with soup-of-planes

Reference 40

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source=pdf_text observed=2026-08-06T18:39:28.884751Z digest=sha256:0e2713f45fe44c7e5574cf4127583274a24a5ffd2597fce7b32085b541b28ebe

Observation 573b54e6-2e2a-43be-b343-6e1b6f32cf32 · outbound

This paper cites MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds

Reference 41

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source=pdf_text observed=2026-08-06T18:39:28.956722Z digest=sha256:95de6734f4aedb1c28af79c6540d0d7f167aaee45049a0c4468916c300442c38

Observation 5a9eb8fe-c915-44b6-99c6-0cf89181d094 · outbound

This paper cites NerfAcc: A General NeRF Acceleration Toolbox.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models NerfAcc: A General NeRF Acceleration Toolbox

Reference 42

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source=pdf_text observed=2026-08-06T18:39:29.042224Z digest=sha256:3e0047daf6135d54d614e6785394a661bde105fa5d2467cd37558ffb985de003

Observation 58e8a04a-9c18-4b99-bf68-209b9d030735 · outbound

This paper cites Spacetime gaussian feature splatting for real-time dynamic view synthesis.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Spacetime gaussian feature splatting for real-time dynamic view synthesis

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:39:29.111731Z digest=sha256:adb9112cf5bf9c4e00fa519a106c066e5267dd9801a8306580ebc20859407ab2

Observation 0f407144-8978-430f-99e2-7af2060853b1 · outbound

This paper cites Neural scene flow fields for space-time view synthesis of dynamic scenes.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Neural scene flow fields for space-time view synthesis of dynamic scenes

Reference 44

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:29.174331Z digest=sha256:b25779dc67b1c3186572c16d674d51244f7b8b177583dda0203b03e838980377

Observation da13ffca-f908-4bb7-805c-07c98691cfb8 · outbound

This paper cites Dynibar: Neural dynamic image-based rendering.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Dynibar: Neural dynamic image-based rendering

Reference 45

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no resolver link, observed 2026-08-06T18:39:29.237316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:29.237316Z digest=sha256:57f44584216da53780986de61af88f02c27484f504090794e67dbba79cb6c5ec

Observation 54c225c0-d606-4085-8c50-408b800a7ada · outbound

This paper cites Wonderland: Navigating 3D Scenes from a Single Image.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Wonderland: Navigating 3D Scenes from a Single Image

Reference 46

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no resolver link, observed 2026-08-06T18:39:29.317516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:29.317516Z digest=sha256:830f315f9e1876e15d4795fcb752e5224c35dc72b9fedf277eae81816c06cc10

Observation 53003682-e36b-4b5f-b7b3-d4371a895f8c · outbound

This paper cites Analytic-splatting: Anti-aliased 3d gaussian splatting via analytic integration.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Analytic-splatting: Anti-aliased 3d gaussian splatting via analytic integration

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:29.378999Z digest=sha256:f84d08b395f358274f0c5b6b481d91eece80e8750b24e288e63973803751867c

Observation 76d42315-5f7e-4a08-8361-bb61bc3572d4 · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Open-Sora Plan: Open-Source Large Video Generation Model

Reference 48

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no resolver link, observed 2026-08-06T18:39:29.458323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:29.458323Z digest=sha256:3a9083659515b95ea5faea547de835d882d63849ddd85346c1f2f03d2a81cb68

Observation 1e61ebbd-26fe-43ac-bfc5-0d7335376999 · outbound

This paper cites Barf: Bundle-adjusting neural radiance fields.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Barf: Bundle-adjusting neural radiance fields

Reference 49

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no resolver link, observed 2026-08-06T18:39:29.557805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:29.557805Z digest=sha256:12ef09c4800e33f10c2ce36baa79374acb09ff52f34d74fd58e26a79b9e72555

Observation 81e622cb-5d58-4905-a9af-07bb2ec38caf · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:29.636927Z digest=sha256:48c7769d822538f1bafd64455c182ffff0256760c71f3815fec7bda380f5b0e5

Observation 9e4e74a2-3e56-420b-b332-2567a524535a · outbound

This paper cites Rip-nerf: Anti-aliasing radiance fields with ripmap-encoded platonic solids.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Rip-nerf: Anti-aliasing radiance fields with ripmap-encoded platonic solids

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:29.722061Z digest=sha256:d2a05ed40460559eecde0a55d4c8a1aa79c6caa92a01f111fb04fb4fb7198097

Observation 637e9292-1f90-4598-aa7c-4bf05c4f7eed · outbound

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

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Zero-1-to-3: Zero-shot one image to 3d object

Reference 52

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no resolver link, observed 2026-08-06T18:39:29.816185Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:39:29.816185Z digest=sha256:a147c0930015acfddfc8483ac7b577a7f7b9dc1c5461b79438c4f781c4ae0738

Observation a8d59a42-a799-4d22-92f7-b7d5b78e6c1c · outbound

This paper cites Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency

Reference 53

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source=pdf_text observed=2026-08-06T18:39:29.925434Z digest=sha256:3411d23cb20ea6d0994dab5d57e8af579249d981111cb78ddbf0673673c8cb50

Observation 78cdc685-08e7-4f49-a465-f0cf0d440e35 · outbound

This paper cites See4d: Pose-free 4d generation via auto-regressive video inpainting.arXiv preprint arXiv:2510.26796, 2025.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models See4d: Pose-free 4d generation via auto-regressive video inpainting.arXiv preprint arXiv:2510.26796, 2025

Reference 54

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no resolver link, observed 2026-08-06T18:39:30.003579Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:39:30.003579Z digest=sha256:461507621f3e58aaf811d71065859d733a34c3a8e9bd41549083656369db0e1b

Observation bbef90e0-4b4d-4de1-b902-fc6c16a76d2e · outbound

This paper cites You see it, you got it: Learning 3d creation on pose-free videos at scale.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models You see it, you got it: Learning 3d creation on pose-free videos at scale

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:39:30.094528Z digest=sha256:589b87435d7d624a6dec5b40caba81c4a652ba4c64ac6c3317f27887eaeae1a0

Observation 8c614ffc-41a7-401a-8fa4-e5a0cf4c670b · outbound

This paper cites ROSE: Remove Objects with Side Effects in Videos.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models ROSE: Remove Objects with Side Effects in Videos

Reference 56

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no resolver link, observed 2026-08-06T18:39:30.164403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:30.164403Z digest=sha256:04402bc89a64de3a164d40d46f23dcf8a0556e8e85b7fc6fff0a8bc308700273

Observation 5615a911-6bbd-495b-8cb6-1355093eec02 · outbound

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

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 57

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no resolver link, observed 2026-08-06T18:39:30.234553Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:39:30.234553Z digest=sha256:af6299876e2c7c876d6441e5b088873cd38ad370327bba6ad8990d08b73141e4

Observation 607840ad-6bc8-4ecb-9ed2-15cbba771280 · outbound

This paper cites Multidiff: Consistent novel view synthesis from a single image.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Multidiff: Consistent novel view synthesis from a single image

Reference 58

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source=pdf_text observed=2026-08-06T18:39:30.311305Z digest=sha256:9be7b856549bbfc003a1f6f20f63177db4d76077d08fd66c65a7140e7f5b1833

Observation 38a5225e-3015-436a-a1df-0f87dd53f666 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.ACM Transactions on Graphics (ToG), 41(4):1–15, 2022.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Instant neural graphics primitives with a multiresolution hash encoding.ACM Transactions on Graphics (ToG), 41(4):1–15, 2022

Reference 59

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source=pdf_text observed=2026-08-06T18:39:30.355482Z digest=sha256:bbb046fff8db357b60a92eb54a728196f2ce8880ff6c3bb7000725c8b39be87a

Observation 42a0f179-6c15-4652-8d0a-7daaf41cea4a · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 60

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source=pdf_text observed=2026-08-06T18:39:30.410302Z digest=sha256:a3f2865681e3f139be958ad3723fbd06c1c26d599e8ba10b9a66eb3d946d8aba

Observation e14ab24b-6e45-41ba-9598-040a6e20fe55 · outbound

This paper cites Carvekit: Image background remove tool.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Carvekit: Image background remove tool

Reference 61

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raw_fallback, observed 2026-08-06T18:39:40.207550Z

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=2026-08-06T18:39:30.480062Z digest=sha256:2b545e540fadc860cacb038a6a4022241f867ae6a90b06f48a55218fc05c554d

Observation ea532d81-ceda-409d-a327-0015772a5721 · outbound

This paper cites Bridging implicit and explicit geometric transformation for single-image view synthesis.IEEE TPAMI, 2024.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Bridging implicit and explicit geometric transformation for single-image view synthesis.IEEE TPAMI, 2024

Reference 62

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raw_fallback, observed 2026-08-06T18:39:40.062476Z

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=2026-08-06T18:39:30.562642Z digest=sha256:21a6edb3b77c409f33c9f32b253e206ebb601516cfc3876cfd85c74eebf58eaf

Observation 7e7457d6-64d8-4bb6-a1db-f4fad87223ad · outbound

This paper cites Barron, Sofien Bouaziz, Dan B Goldman, Steven M.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Barron, Sofien Bouaziz, Dan B Goldman, Steven M

Reference 63

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raw_fallback, observed 2026-08-06T18:39:39.911562Z

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=2026-08-06T18:39:30.640281Z digest=sha256:b8391c49ac4b1da7655ae7cb8550a8e640084713139306164e0b1cad3de9a163

Observation 8442c808-db44-4d7e-b770-dd0fec475cb8 · outbound

This paper cites Scalable diffusion models with transformers.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Scalable diffusion models with transformers

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:30.721102Z digest=sha256:f0d252a1a9cc3771e53e9e9e4d6ecb4856ff15ec7dd11477ebda4400950c3669

Observation feb2ec6d-3315-4216-a0ea-def88a583fb0 · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models D-nerf: Neural radiance fields for dynamic scenes

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:39.781278Z

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=2026-08-06T18:39:30.785657Z digest=sha256:79ac4fc536f13f245b2fa72355660385f15a459bd33106b01fa5377e08df718b

Observation c4f282a9-0b37-4334-91c8-b31142020280 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models SAM 2: Segment Anything in Images and Videos

Reference 66

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no resolver link, observed 2026-08-06T18:39:30.868075Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:39:30.868075Z digest=sha256:9526a06bce58654085550c4198d11305d23bcfc6f063804f3e46c7ad29305cca

Observation bbeac3e7-74c6-4c29-a40a-ddf5e8c531c9 · outbound

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

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:39.648751Z

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=2026-08-06T18:39:30.950795Z digest=sha256:e6fd643e517861ac4f82c0f9cb73df8a623ffea1cde37303c6b05ce934c93365

Observation 4a35d1f9-6542-4280-a6c0-8bfcbb170e11 · outbound

This paper cites Gen3c: 3d-informed world-consistent video generation with precise camera control.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Gen3c: 3d-informed world-consistent video generation with precise camera control

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:39.511183Z

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=2026-08-06T18:39:31.048960Z digest=sha256:06252cf9ed42aabb918c0a354430af291b3e8bf1dc48c6595dff914b73ca5d86

Observation 42486f41-3f6a-4b39-ae85-6015230db3ce · outbound

This paper cites Pixelsynth: Generating a 3d-consistent experience from a single image.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Pixelsynth: Generating a 3d-consistent experience from a single image

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:39.371500Z

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=2026-08-06T18:39:31.164464Z digest=sha256:3f3f37e471176d088c21bb57186480ca08865fa261ce6d142fea238182a51ce6

Observation ca39ca71-b0f8-44cb-926b-73c4aac9dace · outbound

This paper cites Geometry-free view synthesis: Transformers and no 3d priors.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Geometry-free view synthesis: Transformers and no 3d priors

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:39.251737Z

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=2026-08-06T18:39:31.271266Z digest=sha256:80878aa5b95dd6c026340f67106e3ec5bd8ae29c9b616c5cb499f6237211a2a1

Observation ac180335-7e63-4534-ba1c-b1edb707dbe2 · outbound

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

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 71

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no resolver link, observed 2026-08-06T18:39:31.396493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:31.396493Z digest=sha256:89706a0f1762a7d1522fd9d6e1a67b720c8a59685e67e5385e23d14e8b17ebef

Observation 94518c4c-15d8-40fa-b881-88ea086f478c · outbound

This paper cites ZeroNVS: Zero-shot 360-degree view synthesis from a single real image.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models ZeroNVS: Zero-shot 360-degree view synthesis from a single real image

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:39.148856Z

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=2026-08-06T18:39:31.444560Z digest=sha256:1d3a1583932ed2f2cd22dd817da3492146cd4e1a9a562561c9933d95afaab840

Observation 2433159d-a042-4701-8bae-10f9be7b9c14 · outbound

This paper cites Assembly101: A large-scale multi-view video dataset for understanding procedural activities.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Assembly101: A large-scale multi-view video dataset for understanding procedural activities

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:39.020544Z

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=2026-08-06T18:39:31.511295Z digest=sha256:785f1cd9aa34f0f67ddce54609e86978cba7a4e3989322b87d03b87d7139ac7c

Observation 9cb29a50-6b55-4c01-a23b-8676093c2838 · outbound

This paper cites RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion

Reference 74

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no resolver link, observed 2026-08-06T18:39:31.563419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:31.563419Z digest=sha256:14c13d6e397dc0e34f97bcf62a69e8bc45340c442e76f03aea9798d0b550efd3

Observation 8f6d3d5f-2128-4f2a-8477-5e23fe345789 · outbound

This paper cites Denoising diffusion implicit models.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Denoising diffusion implicit models

Reference 75

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no resolver link, observed 2026-08-06T18:39:31.646693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:31.646693Z digest=sha256:c4598d45d0915d4234c3ebaced5b54dd0477173627c490663a642399faee3222

Observation 20382936-777c-4be5-8b5f-b43c0f843c52 · outbound

This paper cites Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields.IEEE TVCG, 2023.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields.IEEE TVCG, 2023

Reference 76

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:38.877071Z

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=2026-08-06T18:39:31.711019Z digest=sha256:7c27a7007a73a0d5044de6ce7adb96b2dcc727044a2404c12c4dd319b6b7da04

Observation 0a13f126-ef5b-4111-910d-fa6ef9ae3870 · outbound

This paper cites Dynamic gaussian marbles for novel view synthesis of casual monocular videos.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Dynamic gaussian marbles for novel view synthesis of casual monocular videos

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:38.725859Z

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=2026-08-06T18:39:31.793781Z digest=sha256:3c5974dc8df4d6c84836054a71e974c5a4afde72b88b2031b57792f008f52af7

Observation 6da1b104-eadc-4a4e-b66f-74ad57cc3554 · outbound

This paper cites DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

Reference 78

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no resolver link, observed 2026-08-06T18:39:31.932292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:31.932292Z digest=sha256:54314630d84f293aafa5eaddb705b32dbeec90718ca26ee7c5bfd831d2f980b9

Observation d4bf4861-3905-45e3-80fe-254b180a0a7f · outbound

This paper cites Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video

Reference 79

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:38.573027Z

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=2026-08-06T18:39:32.033471Z digest=sha256:bbc22e9b03841fe624b0cf52b4ba040072d1cc9963dc6a32000539d2126b0781

Observation 9c78607c-fb80-4bde-a3a7-9b8502b783aa · outbound

This paper cites Megascenes: Scene-level view synthesis at scale.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Megascenes: Scene-level view synthesis at scale

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-06T18:39:38.444883Z

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=2026-08-06T18:39:32.143686Z digest=sha256:1f4b19f7b0356d075e93a900589b3b26cb92166c499cfe093c93f827ecb336e7

Observation 878e1383-d026-4cfc-899b-e75395707de4 · outbound

This paper cites Generative camera dolly: Extreme monocular dynamic novel view synthesis.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Generative camera dolly: Extreme monocular dynamic novel view synthesis

Reference 81

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no resolver link, observed 2026-08-06T18:39:32.254366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:32.254366Z digest=sha256:7e2bc5a4db2bc807bd4580cf7934ba8862374a20bdbe9009e0b56130a7b4304e

Observation 310624c9-b6e8-45c4-b2b1-1c4bca5447c4 · outbound

This paper cites Ref-nerf: Structured view-dependent appearance for neural radiance fields.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Ref-nerf: Structured view-dependent appearance for neural radiance fields

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:38.297448Z

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=2026-08-06T18:39:32.326764Z digest=sha256:a0597f75afaf687ff3dea42190403757ee1f70fcc5d28cfdf216c1dec3023a77

Observation 25c811b3-865c-470a-929b-1b7a5e1b8344 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 83

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unresolved
no resolver link, observed 2026-08-06T18:39:32.420823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:32.420823Z digest=sha256:700c3d71a2f011ba707dcd0bfa04bb5bf7fffaabea61b8e9039c33a4a475f76a

Observation 54a68a29-d1f5-4842-b201-de036712bbdf · outbound

This paper cites Vistadream: Sampling multiview consistent images for single-view scene reconstruction.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Vistadream: Sampling multiview consistent images for single-view scene reconstruction

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:38.160737Z

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=2026-08-06T18:39:32.518945Z digest=sha256:d5500a6cd045ef2cb2667ccef1e8447c32bed3019b722559f5ab48d03872efe4

Observation ec1af565-83d8-4062-bd30-3ca606e98cfc · outbound

This paper cites Videoscene: Distilling video diffusion model to generate 3d scenes in one step.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Videoscene: Distilling video diffusion model to generate 3d scenes in one step

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:38.016938Z

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=2026-08-06T18:39:32.620533Z digest=sha256:0ebb8822b6cecf6bbfc35c05f2898e8225bf220e0a3f7ec186b67f1c7024bdad

Observation ed6e699c-8b3d-40dc-8273-e4cb7455d116 · outbound

This paper cites Vggt: Visual geometry grounded transformer.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Vggt: Visual geometry grounded transformer

Reference 86

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no resolver link, observed 2026-08-06T18:39:32.703246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:32.703246Z digest=sha256:196c842226adb11244d96db4f14b4fb52f9559bf3fe9042711d87abf3eafeba9

Observation 002ffc1e-7d16-4376-aba4-55eed83c317a · outbound

This paper cites Shape of motion: 4d reconstruction from a single video.arXiv preprint arXiv:2407.13764, 2024.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Shape of motion: 4d reconstruction from a single video.arXiv preprint arXiv:2407.13764, 2024

Reference 87

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no resolver link, observed 2026-08-06T18:39:32.758157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:32.758157Z digest=sha256:e010450e5b36786dc50ee6463fd89c6e9d4d18db0cacc0ea6c579b79aea64743

Observation 2cfec30c-8885-4f1e-9795-80022a519882 · outbound

This paper cites Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:37.873305Z

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=2026-08-06T18:39:32.837122Z digest=sha256:2c54819741c8b7a5e10af0656b35531dc291a581b8dc9743255aca752044115b

Observation 8fb4c8fc-23f7-4444-bd5c-0a6e6d8664a0 · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Dust3r: Geometric 3d vision made easy

Reference 89

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unresolved
no resolver link, observed 2026-08-06T18:39:32.893325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:32.893325Z digest=sha256:bac3da419e974370bd61abcefbbecb4587566cff107d5ebab7d6c6741857927f

Observation c59d133f-8754-4a71-ba87-ccecfaafd207 · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Motionctrl: A unified and flexible motion controller for video generation

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:37.752001Z

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=2026-08-06T18:39:32.953301Z digest=sha256:da74327835b23cee07fa925116890fdbcf9f4ecd32292bf6e94479930cb08e45

Observation 81eb40c6-fe82-4380-a418-25c825292155 · outbound

This paper cites Synsin: End-to-end view synthesis from a single image.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Synsin: End-to-end view synthesis from a single image

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:37.631562Z

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=2026-08-06T18:39:33.003635Z digest=sha256:1b8f662b8d1cea792c5d1ce5db230123289dcfaf662bbc61f7920321e8dc943b

Observation 388544a4-58ca-4e63-920c-2740ca78c2c9 · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models 4d gaussian splatting for real-time dynamic scene rendering

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:37.518304Z

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=2026-08-06T18:39:33.050247Z digest=sha256:4372f8e572491fcb027da2c0f942786cdb0781a9b3b1a882f4e7731e7f88de58

Observation 299962af-bbae-44b6-9d78-830c227f65fa · outbound

This paper cites CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models

Reference 93

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unresolved
no resolver link, observed 2026-08-06T18:39:33.106709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:33.106709Z digest=sha256:a158aa2e7f335113c437dc71970e014c4a850056a0758c7293e4f45acb25afcb

Observation 4aed8aae-d666-438a-bad9-9a7d4618e0f3 · outbound

This paper cites Reconfusion: 3d reconstruction with diffusion priors.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Reconfusion: 3d reconstruction with diffusion priors

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:37.386498Z

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=2026-08-06T18:39:33.163955Z digest=sha256:34e798fba108163e56add12ae163b46a69e8a0166dc36e987f5ab84d5e5ae262

Observation 712d0dc5-e496-44f1-8268-7226da6a36a3 · outbound

This paper cites Trajectory attention for fine-grained video motion control.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Trajectory attention for fine-grained video motion control

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:37.266916Z

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=2026-08-06T18:39:33.206882Z digest=sha256:82c7e66413c781430757e2db44fd86cefac8a6f3f4f7f1036e60c8a48f0d2730

Observation ab944705-912c-41cb-a689-3907f113dd6c · outbound

This paper cites DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 96

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unresolved
no resolver link, observed 2026-08-06T18:39:33.283876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:33.283876Z digest=sha256:e42fa038d7050527c465719e0357d7d1b8f27bbcae06f21711590b539edd987c

Observation 67b4f520-4868-4ab3-9192-88f64021211e · outbound

This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 97

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unresolved
no resolver link, observed 2026-08-06T18:39:33.351341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:33.351341Z digest=sha256:cea4da8444ea063cc1e29dd7945e148d79b61eace295cc1aca791743d3742471

Observation e01e58e9-c511-467f-aeae-196e39679f86 · outbound

This paper cites 4dgt: Learning a 4d gaussian transformer using real-world monocular videos.arXiv preprint arXiv:2506.08015, 2025.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models 4dgt: Learning a 4d gaussian transformer using real-world monocular videos.arXiv preprint arXiv:2506.08015, 2025

Reference 98

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unresolved
no resolver link, observed 2026-08-06T18:39:33.405744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:33.405744Z digest=sha256:7818ae9ef5397f4b51a66cceb4667d21213a6b91c9f6297f65e56ff7fc7d8dd7

Observation 186a31ad-6fa6-41e0-ab33-aced6f7c7dbc · outbound

This paper cites Depth Anything V2.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Depth Anything V2

Reference 99

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unresolved
no resolver link, observed 2026-08-06T18:39:33.462649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:33.462649Z digest=sha256:331073306bd94deacde27b87fd90dc3b196a75ce137584ba9d58e49a54daffb4

Observation c90e8d97-0adc-4b54-8dd1-c1e308933ae4 · outbound

This paper cites Real-time photorealistic dynamic scene representation and rendering with 4d gaussian splatting.

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models Real-time photorealistic dynamic scene representation and rendering with 4d gaussian splatting

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:37.144279Z

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=2026-08-06T18:39:33.523972Z digest=sha256:e2dd1e5b5ae8786013722aa0a2edcd56cbcb8f15ac6a818e199b6ff98c4f6ca9

Pith citing papers

No inbound Pith citation observations are available.