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Paper Citation Record · LEDGER

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation

As of 23 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2512.05044.

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

pith.paper-citation-record.v1
2512.05044 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:30:09.381354Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T13:45:04.631355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T14:10:13.605941Z

Reference resolution

66 of 66 outbound references displayed

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Outbound references

Observation 7656764d-7f8a-42a2-9a6c-08a0666f05c2 · outbound

This paper cites Wan2.1-Fun-14B-Control.https:// huggingface.co/alibaba- pai/Wan2.1- Fun- 14B-Control, 2024.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Wan2.1-Fun-14B-Control.https:// huggingface.co/alibaba- pai/Wan2.1- Fun- 14B-Control, 2024

Reference 1

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source=pdf_text observed=2026-08-03T18:30:00.846603Z digest=sha256:67915ac6a34d53d77b0e29d7643f079618a4f5aaaef67d927c44e6868db17052

Observation d3f370b7-01a8-4236-871a-2f990870419a · outbound

This paper cites Wan2.1-Fun-14B-InP.https:// huggingface.co/alibaba- pai/Wan2.1- Fun- 14B-InP, 2024.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Wan2.1-Fun-14B-InP.https:// huggingface.co/alibaba- pai/Wan2.1- Fun- 14B-InP, 2024

Reference 2

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Observation a2b64de2-c769-4c68-809f-fd99638de2cb · outbound

This paper cites FitVid: Overfitting in Pixel-Level Video Prediction.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation FitVid: Overfitting in Pixel-Level Video Prediction

Reference 3

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Observation db8739c4-3644-45c0-9168-0dfc0178b683 · outbound

This paper cites 4D-fy: Text-to-4d generation using hybrid score distillation sampling.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation 4D-fy: Text-to-4d generation using hybrid score distillation sampling

Reference 4

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source=pdf_text observed=2026-08-03T18:30:01.204312Z digest=sha256:021dda861461370e0dac906fc7dc679bf602c13bcfa81d04aa546fba483fe4b6

Observation 8df7ca8d-ce76-4b29-af32-fee3f8b37f42 · outbound

This paper cites ReCamMaster: Camera-Controlled Generative Rendering from A Single Video.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

Reference 5

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Observation ff8c6bd7-f7ee-4d6f-840a-89cdbd71ed2f · outbound

This paper cites Qwen2.5-VL Technical Report.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Qwen2.5-VL Technical Report

Reference 6

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Observation 65a93065-6b33-446f-a9f6-acf030cc8cb5 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 7

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Observation cac36ea8-15a7-41a3-b34f-14b5fe207906 · outbound

This paper cites GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 8

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Observation 08ccc2d2-0b94-4b1c-9935-fbc17a8f3ccf · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 9

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source=pdf_text observed=2026-08-03T18:30:01.827034Z digest=sha256:bd84c7e23080f2f01f8fe681c0dbc1f51074c04db5c1bcaadf3f11322fcced39

Observation eac69dac-033f-4718-8efa-a80d32ca4533 · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 10

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Observation 7d0e9c84-a6d3-4e3f-b153-3064c05bf91d · outbound

This paper cites 4DNeX: Feed-Forward 4D Generative Modeling Made Easy.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation 4DNeX: Feed-Forward 4D Generative Modeling Made Easy

Reference 11

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source=pdf_text observed=2026-08-03T18:30:02.091324Z digest=sha256:debca67ca7ac04a508df581e67391f86fe0ec83cb759dda88feb539f106e1c34

Observation bc362a76-838b-46e4-9c1f-11ef1d0131f9 · outbound

This paper cites Adversarial Video Generation on Complex Datasets.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Adversarial Video Generation on Complex Datasets

Reference 12

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Observation c1aa4005-b1ad-4683-8584-e3747135857c · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 13

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Observation 0cff635c-11b3-461d-a07b-1954c6bd875f · outbound

This paper cites Autoregressive Video Generation without Vector Quantization.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Autoregressive Video Generation without Vector Quantization

Reference 14

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Observation 3c94cd72-0b3c-4bfd-a64b-d6687d9c197b · outbound

This paper cites Stochastic video generation with a learned prior.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Stochastic video generation with a learned prior

Reference 15

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Observation e2110354-547a-4326-911e-c71138a590f8 · outbound

This paper cites Tap-vid: A benchmark for tracking any point in a video.NeurIPS, 35:13610–13626, 2022.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Tap-vid: A benchmark for tracking any point in a video.NeurIPS, 35:13610–13626, 2022

Reference 16

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Observation 4113d540-5ba9-4c24-b2f9-e443ca4b709a · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Reference 17

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Observation 79533639-5a39-4fb0-931d-06ed45236f87 · outbound

This paper cites Omnimae: Single model masked pretraining on images and videos.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Omnimae: Single model masked pretraining on images and videos

Reference 18

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Observation 5980db36-621b-4cac-9c7c-5e64459a19b7 · outbound

This paper cites Kubric: A scalable dataset generator.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Kubric: A scalable dataset generator

Reference 19

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Observation 2a5a694c-0965-491d-8004-d4197a193cef · outbound

This paper cites Vid2avatar: 3d avatar reconstruction from videos in the wild via self-supervised scene decomposition.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Vid2avatar: 3d avatar reconstruction from videos in the wild via self-supervised scene decomposition

Reference 20

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Observation 32458df4-a149-497d-80e9-90ca91c45b5d · outbound

This paper cites Probabilistic video generation using holis- tic attribute control.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Probabilistic video generation using holis- tic attribute control

Reference 21

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Observation f239001f-1820-4df9-bee4-470cbf293d95 · outbound

This paper cites Deep residual learning for image recognition.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Deep residual learning for image recognition

Reference 22

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Observation 69de19ca-4b71-4b10-9ddd-6cbf357eb8eb · outbound

This paper cites Video dif- fusion models.NeurIPS, 35:8633–8646, 2022.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Video dif- fusion models.NeurIPS, 35:8633–8646, 2022

Reference 23

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Observation 65acc6f3-cd13-4534-b900-bac1388877c0 · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation CogVLM2: Visual Language Models for Image and Video Understanding

Reference 24

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Observation c184fea7-0c81-43c5-b8a9-52822f99de0c · outbound

This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Vbench: Comprehensive bench- mark suite for video generative models

Reference 25

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Observation 88f4baa4-784a-4d51-8508-af700d802c30 · outbound

This paper cites Animate3d: Animating any 3d model with multi-view video diffusion.NeurIPS, 37:125879– 125906, 2024.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Animate3d: Animating any 3d model with multi-view video diffusion.NeurIPS, 37:125879– 125906, 2024

Reference 26

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Observation aa0c9832-64d5-48e0-8544-9f915c53681b · outbound

This paper cites Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction

Reference 27

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Observation ba968b76-1548-4d5c-9cca-60f61f19812d · outbound

This paper cites Optimizing 4d gaussians for dynamic scene video from single landscape images.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Optimizing 4d gaussians for dynamic scene video from single landscape images

Reference 28

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Observation f8593c16-ac91-4d12-83d3-5e112d842b69 · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 29

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Observation bb9e6a55-84f3-4baf-9e2d-11a0f4feea7a · outbound

This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Text2video-zero: Text- to-image diffusion models are zero-shot video generators

Reference 30

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Observation 656391a3-af10-4c71-ba72-bf13131000bd · outbound

This paper cites Tapvid-3d: A benchmark for tracking any point in 3d.NeurIPS, 37:82149–82165, 2024.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Tapvid-3d: A benchmark for tracking any point in 3d.NeurIPS, 37:82149–82165, 2024

Reference 31

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Observation ed324f6d-c6b3-45f8-8645-bb24096d5459 · outbound

This paper cites Flow matching for generative mod- eling.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Flow matching for generative mod- eling

Reference 32

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Observation 8117146a-2ca1-4fe6-bc66-b53742f9fe26 · outbound

This paper cites DeepSeek-V3 Technical Report.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation DeepSeek-V3 Technical Report

Reference 33

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Observation efb6768d-c958-457d-a93f-b57075ac2e07 · outbound

This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 34

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Observation a14cb09a-38ec-4cb6-b2b4-4d8248373bc6 · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency

Reference 35

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Observation 4215708f-9982-4d9d-9d2a-8ef16e74e3ce · outbound

This paper cites Decoupled weight decay regularization.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Decoupled weight decay regularization

Reference 36

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source=pdf_text observed=2026-08-03T18:30:04.596676Z digest=sha256:643f90aa362f86c4501916e9746331e0daa673f0144393334b26eb0defa0a988

Observation a3686dad-43ef-413e-aeae-45610226c3e7 · outbound

This paper cites Follow your pose: Pose- guided text-to-video generation using pose-free videos.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Follow your pose: Pose- guided text-to-video generation using pose-free videos

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source=pdf_text observed=2026-08-03T18:30:04.700919Z digest=sha256:9ddb29c5f0ef7bdc17379dd71208b8ab95b54357918f8829566b4ea8cc81b52d

Observation 6104f476-8a8f-4805-acae-c1fc8ca037d0 · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 38

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source=pdf_text observed=2026-08-03T18:30:04.758038Z digest=sha256:8d7553f5de2a3f6c1d3387e26f50dbf78aa025fbb103decb598479e5e496dca9

Observation 05cded5d-fc68-4fb5-b618-ab8a44bb9a07 · outbound

This paper cites PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting

Reference 39

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no resolver link, observed 2026-08-03T18:30:04.820881Z

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source=pdf_text observed=2026-08-03T18:30:04.820881Z digest=sha256:0baac1a300ec826326843a7e9233a1db549fb0bcd0f2f386def9e0e9e588f090

Observation 8480f3e0-18f4-4775-b038-245516030479 · outbound

This paper cites Advances in 4D Generation: A Survey.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Advances in 4D Generation: A Survey

Reference 40

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source=pdf_text observed=2026-08-03T18:30:04.868046Z digest=sha256:667791e26ebabe0b9e6de5de57a41455dde876861a2be3f588b9ec603d6e85aa

Observation cad834d3-6b74-4fac-83d0-ce40f65c5e5d · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Multidiff: Consistent novel view synthesis from a single image

Reference 41

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source=pdf_text observed=2026-08-03T18:30:04.941051Z digest=sha256:3258a40f5162f84f2d833b5d84d3703ef3f638d0a52c413373a456d3adce5b3b

Observation a82d2615-8796-41d3-a2f4-446f5b639d13 · outbound

This paper cites Delta: Dense efficient long-range 3d track- ing for any video.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Delta: Dense efficient long-range 3d track- ing for any video

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:04.969759Z digest=sha256:12f7ddb9203b7ba618f4e0f1b09eca9b2c8736ea071a6efa4a13b50fa30e14d0

Observation 4cab6797-793b-4a4d-b0e8-b8c50573aae1 · outbound

This paper cites Scalable diffusion models with transformers.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Scalable diffusion models with transformers

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:30:05.007304Z digest=sha256:2df7e5d5a0d6c40988ebae30876a5513ab22f5628855e04f9e3f4f4e57dde83f

Observation fdbab8bf-94e8-4e1a-a0d2-145a2baeee8d · outbound

This paper cites UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 44

Resolution
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no resolver link, observed 2026-08-03T18:30:05.135162Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:05.135162Z digest=sha256:5c430f883c22958ca93ce73fb0a72b0e2864b6fa3fc40225db1f5adebc22bbc2

Observation bb000098-f9d9-416f-b218-62cda6ce5acc · outbound

This paper cites L4gm: Large 4d gaussian reconstruction model.Advances in Neural Information Processing Systems, 37:56828–56858, 2025.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation L4gm: Large 4d gaussian reconstruction model.Advances in Neural Information Processing Systems, 37:56828–56858, 2025

Reference 45

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no resolver link, observed 2026-08-03T18:30:05.332885Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:05.332885Z digest=sha256:c190811cc56156a0996621289fc6ed820da9742e8c52e717008df6339e50a8b4

Observation 184cdc86-76a7-4990-8a65-6495f243b05b · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Gen3c: 3d-informed world-consistent video generation with precise camera con- trol

Reference 46

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no resolver link, observed 2026-08-03T18:30:05.490104Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:05.490104Z digest=sha256:29e57d003d02794265dbe36e896427d538fba1f684f6cea7a4276043f1b8d39b

Observation 74560a94-5690-4f8a-8bce-224e817ec1d9 · outbound

This paper cites Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

Reference 47

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no resolver link, observed 2026-08-03T18:30:05.680803Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:05.680803Z digest=sha256:02baed04f25bfa75d7aaafb14a4c172a8b350a89dc98292556fcc972b4236042

Observation b608b570-fbd2-4acb-8192-92781e15f43c · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Make-a-video: Text-to-video generation without text-video data

Reference 48

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unresolved
no resolver link, observed 2026-08-03T18:30:05.921791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:30:05.921791Z digest=sha256:9bf47be274187c6473ebf01449d61a08a7c1877ceca0987c5b9d5804b0dca26e

Observation 31b16ef8-8470-431d-bc7b-7093fc574e54 · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

Reference 49

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no resolver link, observed 2026-08-03T18:30:06.159144Z

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source=pdf_text observed=2026-08-03T18:30:06.159144Z digest=sha256:f212ba32310edf00a8389c6cdc61cbd9cd5de4942d95f458026d267318b1a064

Observation 66fddb8f-89d6-485a-af7d-c853758109d7 · outbound

This paper cites Kling image-to-video model, 2024.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Kling image-to-video model, 2024

Reference 50

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source=pdf_text observed=2026-08-03T18:30:06.299205Z digest=sha256:e8da76919d46014412f9dd77bafdaec2de5d0d7b468f53ae670e392c7bf80e84

Observation ce1d02db-9b4a-4f89-a05b-28c4aeb0ab7a · outbound

This paper cites Mocogan: Decomposing motion and content for video generation.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Mocogan: Decomposing motion and content for video generation

Reference 51

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no resolver link, observed 2026-08-03T18:30:06.533408Z

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source=pdf_text observed=2026-08-03T18:30:06.533408Z digest=sha256:408e15e6b8aad96e72d2526d657d33dd141a255ea9db616db31cf6d49236d609

Observation 17f41d63-c3ad-4d0e-aecf-5a38bdab64fd · outbound

This paper cites Neural discrete representation learning.NeurIPS, 30, 2017.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Neural discrete representation learning.NeurIPS, 30, 2017

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:06.789156Z digest=sha256:02ba8b25d1a757c3843bd25a82b15c97f2ea96131bf57e6de44ef8dae81203b4

Observation 5f2baf27-7614-4195-a3b7-a3bd5ee598a3 · outbound

This paper cites Generating videos with scene dynamics.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Generating videos with scene dynamics

Reference 53

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no resolver link, observed 2026-08-03T18:30:06.951982Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:06.951982Z digest=sha256:1f03007a78d39cd686476433ae9b1b9d58ef3feac7de87f6423cd82e37bc0177

Observation 986c9262-56b1-410a-9651-2d88a0d89a78 · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 54

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no resolver link, observed 2026-08-03T18:30:07.193313Z

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source=pdf_text observed=2026-08-03T18:30:07.193313Z digest=sha256:6fa94468af2ac0b659b8667b061b90a93ceeb14dbd14dfa5913e66825516079b

Observation 896d8f20-25ba-4faa-8c71-3cb83425c4c9 · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Vggt: Vi- sual geometry grounded transformer

Reference 55

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no resolver link, observed 2026-08-03T18:30:07.432245Z

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source=pdf_text observed=2026-08-03T18:30:07.432245Z digest=sha256:c89928d7756457b5348a83bc075726faf0c19436e1e9246872cf8189eac512f3

Observation b5e58871-06d6-45fe-8a04-fcdc8c631866 · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation 4d gaussian splatting for real-time dynamic scene rendering

Reference 56

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unresolved
no resolver link, observed 2026-08-03T18:30:07.690423Z

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source=pdf_text observed=2026-08-03T18:30:07.690423Z digest=sha256:ecc8e9b34ff6ccba6d63b4dec4e26031b95679b243e42c1686325b2a724d05b4

Observation 7af3bc24-7a88-436f-a115-30670f4f25bd · outbound

This paper cites Mo- tionbooth: Motion-aware customized text-to-video genera- tion.NeurIPS, 37:34322–34348, 2024.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Mo- tionbooth: Motion-aware customized text-to-video genera- tion.NeurIPS, 37:34322–34348, 2024

Reference 57

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source=pdf_text observed=2026-08-03T18:30:07.909361Z digest=sha256:d4e90ab47821a787bac4ea9270499b366265b91fc7b3ff719d6b043be2b11b25

Observation 0f9935f6-acb9-4f62-8e75-4d300a8d1ce5 · outbound

This paper cites Cat4d: Create anything in 4d with multi-view video diffusion mod- els.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Cat4d: Create anything in 4d with multi-view video diffusion mod- els

Reference 58

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no resolver link, observed 2026-08-03T18:30:08.067163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:30:08.067163Z digest=sha256:7fc086a0d0ae2b18a07ea4d69f94b60731739e5548865bb1091f6a1e85d1d19f

Observation ba1c8d04-ea01-4687-9545-9ee505f327cb · outbound

This paper cites SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Reference 59

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unresolved
no resolver link, observed 2026-08-03T18:30:08.187013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:30:08.187013Z digest=sha256:6eecb2fb13d3d71976f7e8e176a0a1661ac1a8b0ab390de18c5ceb23c9475937

Observation 37386630-cb2c-4028-b119-9108bcf5d4ad · outbound

This paper cites Make-your-video: Customized video generation using textual and structural guidance.IEEE TVCG, 31(2):1526–1541, 2024.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Make-your-video: Customized video generation using textual and structural guidance.IEEE TVCG, 31(2):1526–1541, 2024

Reference 60

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source=pdf_text observed=2026-08-03T18:30:08.364657Z digest=sha256:4302e9a957aaaa788f1546f3fb9dacf73f6a46c443949792db0d2b40faa5cfc8

Observation 0d4c32d2-5b84-4d28-82d1-083fdb2abfca · outbound

This paper cites 4Real: Towards photorealis- tic 4d scene generation via video diffusion models.NeurIPS, 37:45256–45280, 2024.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation 4Real: Towards photorealis- tic 4d scene generation via video diffusion models.NeurIPS, 37:45256–45280, 2024

Reference 61

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:30:08.524813Z digest=sha256:038191fadefe2cefbee411a21ac7ddc4615fa9ae45c1b89fedabe9339056f621

Observation 0038792f-5da4-46ed-a359-f91f9a678f07 · outbound

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

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 62

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no resolver link, observed 2026-08-03T18:30:08.685671Z

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source=pdf_text observed=2026-08-03T18:30:08.685671Z digest=sha256:01c1e1e150d322e54e5ea24d5b5476547b8ca3ab303e09d8b8e215d466a9398f

Observation 654d0081-7f06-4aa1-9bb5-522f940cd481 · outbound

This paper cites Animate124: Animating One Image to 4D Dynamic Scene.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Animate124: Animating One Image to 4D Dynamic Scene

Reference 63

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no resolver link, observed 2026-08-03T18:30:08.845293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:30:08.845293Z digest=sha256:c2f84ed36f23cc70b3cd8e11632ddbb23e377a92135322ab0ca47c00579250b4

Observation 4dd67273-3195-4bf8-87a7-57ffbbcce571 · outbound

This paper cites GenXD: Generating Any 3D and 4D Scenes.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation GenXD: Generating Any 3D and 4D Scenes

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-03T18:30:09.035257Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:09.035257Z digest=sha256:8b4371b656e50e60c8371e6d3939e665cf0f588bff807fb85661d36e8047a741

Observation 44a3a1dc-b5e9-4c1d-8d2c-6d139a318d06 · outbound

This paper cites Nerflix: High-quality neu- ral view synthesis by learning a degradation-driven inter- viewpoint mixer.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Nerflix: High-quality neu- ral view synthesis by learning a degradation-driven inter- viewpoint mixer

Reference 65

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no resolver link, observed 2026-08-03T18:30:09.204160Z

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source=pdf_text observed=2026-08-03T18:30:09.204160Z digest=sha256:67c217fe5a74f91f3bbde3743ccf77c02c23972d57db182f880c2c86d5107588

Observation 46b793b0-0850-4c08-a507-f728d66346b9 · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation Fsgs: Real-time few-shot view synthesis using gaussian splatting

Reference 66

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:30:09.381354Z digest=sha256:63c24ba8ff2e500c5f4c71ccb57f879ecf6ff0a2957897b5e721318f2689ee91

Pith citing papers

Observation 56dc9a07-7da4-4292-a19f-a587fa73254c · inbound

FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction cites this paper.

FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation

Reference 51

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verified exact
arxiv_id, observed 2026-07-09T02:20:28.392250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T14:05:27.817441Z digest=sha256:09a31ad55d829fbfb67548b4041a723931167d242aa9ff33d44ea8b8527d4b64

Observation bcb62d08-293a-40b4-9cfb-431a918b2357 · inbound

MMDiff: Extending Diffusion Transformers for Multi-Modal Generation cites this paper.

MMDiff: Extending Diffusion Transformers for Multi-Modal Generation Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation

Reference 55

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no resolver link, observed 2026-07-12T13:45:04.631355Z

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source=pdf_text observed=2026-07-12T13:45:04.631355Z digest=sha256:5b11063fb1253ed14e15da803c47980edfe12097b9df7ae48f56eae2a6a39856