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Paper Citation Record · LEDGER

DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2310.12190.

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

pith.paper-citation-record.v1
2310.12190 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:18:52.780183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:59:55.949933Z

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Outbound references

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Pith citing papers

Observation 6cb4b37f-c209-4e4a-ab6d-7c500a994633 · inbound

I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models cites this paper.

I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 50

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arxiv_id, observed 2026-05-17T23:51:24.028649Z

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

source=pdf_text observed=2026-05-17T23:51:23.877344Z digest=sha256:3a95d459899dc8126bd316299fe79db525586afcbb5d11f89805c173a0febb64

Observation 39a1c032-97a3-4dd0-93d6-7038e883aa5d · inbound

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

ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 18

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arxiv_id, observed 2026-05-13T22:59:03.774856Z

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

source=pdf_text observed=2026-05-13T22:59:03.642189Z digest=sha256:2c1c3eaad2bb6257c871db104bf21a183b7bd9ba88aa3bdce46594c9ea17f90d

Observation cbed8755-5703-4767-8392-ac2162c8b1b2 · inbound

Movie Gen: A Cast of Media Foundation Models cites this paper.

Movie Gen: A Cast of Media Foundation Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 74

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arxiv_id, observed 2026-05-11T14:16:26.115356Z

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

source=pdf_text observed=2026-05-11T14:16:18.521699Z digest=sha256:bddb88dcdae72dd0be0470c767977aa39ace8f6aebbeea36175a1b1b5e7b06c6

Observation 8f66383c-37d4-436e-ad7c-090dac3bfd46 · inbound

AnimateAnything: Consistent and Controllable Animation for Video Generation cites this paper.

AnimateAnything: Consistent and Controllable Animation for Video Generation DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 48

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no resolver link, observed 2026-08-12T19:18:52.780183Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:18:52.780183Z digest=sha256:fcfd44179165286ed7900600bad309176dc3113576973d84e449cd545f481278

Observation e24fd020-3078-4b99-a261-384d37a63d66 · inbound

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models cites this paper.

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 56

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no resolver link, observed 2026-08-12T16:22:43.960898Z

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source=pdf_text observed=2026-08-12T16:22:43.960898Z digest=sha256:f9a9e55dac343fc6cb89ac93303389fd392284a67d9b8c5ef7a8970ec3f720ae

Observation e2bdc29d-9967-45ad-8653-1a74367cc952 · inbound

DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation cites this paper.

DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 41

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arxiv_id, observed 2026-05-23T17:18:14.008372Z

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

source=pdf_text observed=2026-05-23T17:17:48.961672Z digest=sha256:496195863c025189905f73378a9b5040000bbc64d19e65a3ed2d768ea8ab0c68

Observation c023ac50-417a-4571-aa1c-c2699890f5dd · inbound

I2VControl: Disentangled and Unified Video Motion Synthesis Control cites this paper.

I2VControl: Disentangled and Unified Video Motion Synthesis Control DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 44

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no resolver link, observed 2026-08-12T12:36:49.517526Z

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source=pdf_text observed=2026-08-12T12:36:49.517526Z digest=sha256:be257a2e1b834f140c337c25f013f58fe75805144842a723dcd57416576ee697

Observation c2d6ad79-6a56-4123-97dc-d7d2b179ac59 · inbound

SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing cites this paper.

SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 58

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source=pdf_text observed=2026-08-12T10:44:14.834174Z digest=sha256:adffa653a388b8d7fb51504041f29de2942717c521b94814f220aaad49fa0c31

Observation 92aa359f-c717-4186-ace2-d3d54252a656 · inbound

Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning cites this paper.

Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 106

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source=pdf_text observed=2026-08-11T23:53:47.384733Z digest=sha256:db37178b3450a688d9f85e61ccf7a9eb276d5e0cee30675b12b26db0f3c01e28

Observation 020e8116-cb20-4bdc-a5de-fee8b7a831cf · inbound

Imagine360: Immersive 360 Video Generation from Perspective Anchor cites this paper.

Imagine360: Immersive 360 Video Generation from Perspective Anchor DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 50

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source=pdf_text observed=2026-08-11T22:23:15.631404Z digest=sha256:15be8f71ac4341fcac51bc7401c49343ed7697e962f8c01380f7daed936ce577

Observation a9da20a4-9e91-4984-9e2f-cc62dc03277d · inbound

MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation cites this paper.

MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 62

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no resolver link, observed 2026-08-11T21:28:26.526260Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:26.526260Z digest=sha256:29efc2a63ca0b7c4743c60da49564a0d60e81253c812ee9c0998a3b41ef07f51

Observation a4b3ea26-88c3-4317-a833-692392e4e234 · inbound

UniPaint: Unified Space-time Video Inpainting via Mixture-of-Experts cites this paper.

UniPaint: Unified Space-time Video Inpainting via Mixture-of-Experts DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 71

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no resolver link, observed 2026-08-11T19:49:00.482523Z

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source=pdf_text observed=2026-08-11T19:49:00.482523Z digest=sha256:9403374e83b14164451f8228c439802b593ba73be65c765bb74e33b68785ef38

Observation e6a864ee-ef31-483e-9312-c5f14f01563b · inbound

Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism cites this paper.

Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 42

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no resolver link, observed 2026-08-11T16:45:14.443180Z

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source=pdf_text observed=2026-08-11T16:45:14.443180Z digest=sha256:e85815e546bf21fcae3726996fbb2d50235cdfb721ed12c6b183aea123f18252

Observation 0fa69a51-39a1-402d-b846-bf292d9ca252 · inbound

TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation cites this paper.

TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 62

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no resolver link, observed 2026-08-11T16:13:39.428123Z

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source=arxiv_source observed=2026-08-11T16:13:39.428123Z digest=sha256:e98985e88a03409c64a0045ffeb65e8ea0f320523c5a05d9c9ceb73fe1732caf

Observation e5ab495c-cb78-4a2b-9de3-372923b1b56c · inbound

SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner cites this paper.

SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 47

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no resolver link, observed 2026-08-11T15:56:59.870792Z

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source=pdf_text observed=2026-08-11T15:56:59.870792Z digest=sha256:901127a52b5b983f893473ea153c9f56fba75f9d2bd5ed45ab26e6e47fc1bbe6

Observation 91fb94f4-b014-40c5-9897-db30989abffc · inbound

FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors cites this paper.

FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 61

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no resolver link, observed 2026-08-10T20:33:55.684256Z

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source=pdf_text observed=2026-08-10T20:33:55.684256Z digest=sha256:06563e92ca24e7a577d63a57ded406af92def53f7868434a544eb62d4d87a00e

Observation b590ff6e-4f97-49ab-bddd-66060f0d79e0 · inbound

Generative Physical AI in Vision: A Survey cites this paper.

Generative Physical AI in Vision: A Survey DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 32

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source=pdf_text observed=2026-08-10T18:53:00.049221Z digest=sha256:71c1eb584686ffec7f66091f3148a7e3b9d5c3c813594d51052ccc179d7a7293

Observation 0fa65c76-cd6d-422b-aa8e-b17e4efed6a5 · inbound

3D Object Manipulation in a Single Image using Generative Models cites this paper.

3D Object Manipulation in a Single Image using Generative Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 49

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source=pdf_text observed=2026-08-10T16:40:47.686492Z digest=sha256:3a467e3fa1bb1bd0097193ab221d1bca6cc6fe00a650e2dde381a822343b0ffc

Observation 6233952f-6334-47f6-b76c-cd7bad4fef21 · inbound

History-Guided Video Diffusion cites this paper.

History-Guided Video Diffusion DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 62

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verified exact
arxiv_id, observed 2026-05-16T12:00:14.769575Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-16T12:00:14.672729Z digest=sha256:4ff8005de6c06fd5a638f8fa60c7f342ae554165f0ea6a144a28911d4773f4f0

Observation 13842956-6a20-4fc5-89f9-45a2ea620f12 · inbound

RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control cites this paper.

RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 76

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no resolver link, observed 2026-08-07T19:40:21.405317Z

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source=pdf_text observed=2026-08-07T19:40:21.405317Z digest=sha256:fbdc90b71294b087281caf881d68dd34983acc0a8ff35006cd925a4b965f8eff

Observation 3ff369ee-bffb-4214-b2d0-05b85f3042a8 · inbound

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness cites this paper.

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 19

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arxiv_id, observed 2026-05-14T18:42:03.281084Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-14T18:42:02.940250Z digest=sha256:a3bcf99cf1f9ef698f8ee3c9bcc635bc5e52510a47b54e27c2fa64973cc655f8

Observation d7807148-38fa-4e98-a920-20fcc5d98908 · inbound

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control cites this paper.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 70

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source=pdf_text observed=2026-08-07T13:13:47.828734Z digest=sha256:f2aba37533bf26069dea27d3e15707c19c6b4cf3a8b6b0b3b0b2c7f711c89ab9

Observation 63f2037b-dfa4-421c-8dff-7cc6ac4c35ff · inbound

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval cites this paper.

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 31

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source=pdf_text observed=2026-08-07T11:12:17.611750Z digest=sha256:36156d03c75c1de8e714b50fc66ed2d73a1458ef8a47197d747461077f5119ef

Observation d7639a21-3165-40a6-bbcf-686b990b5c0e · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 130

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arxiv_id, observed 2026-05-12T18:51:15.872399Z

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

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Observation 43bde310-09d2-4678-88eb-0cfe5a0906bf · inbound

GenHSI: Controllable Generation of Human-Scene Interaction Videos cites this paper.

GenHSI: Controllable Generation of Human-Scene Interaction Videos DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 94

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arxiv_id, observed 2026-05-19T07:27:09.040021Z

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

source=pdf_text observed=2026-05-19T07:25:41.219753Z digest=sha256:1f0c22781d8b5c00d1f726b3b2542b0ea18736cb3656c417e5718b0efe4aba90

Observation d1489c1e-691b-4614-86c3-0d641f638c28 · inbound

MVGBench: Comprehensive Benchmark for Multi-view Generation Models cites this paper.

MVGBench: Comprehensive Benchmark for Multi-view Generation Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 66

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source=pdf_text observed=2026-08-07T04:52:09.865277Z digest=sha256:1ea3d090efa39f242c980aa93edecf09a452879bc37f721e0f23aba741e56957

Observation 1adb4979-161f-43d2-bfb0-70a793f893dd · inbound

TokensGen: Harnessing Condensed Tokens for Long Video Generation cites this paper.

TokensGen: Harnessing Condensed Tokens for Long Video Generation DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 41

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source=pdf_text observed=2026-08-06T15:28:30.738068Z digest=sha256:8c071489afe31a2a9c5cf0d041c5fcf7fc5c8bac3422b09fc8b985427290fac2

Observation 728dd224-40ef-484d-8078-a15bc2e41a01 · inbound

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm cites this paper.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 79

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source=pdf_text observed=2026-08-06T01:05:34.947645Z digest=sha256:e39d6fbcd61f89adae56e8ad4799f5ffacfd7129bb0e25cd09151f4b5ca22480

Observation 17f4061a-e5c5-4d20-942f-6eb91fc87537 · inbound

SketchAnimator: Animate Sketch via Motion Customization of Text-to-Video Diffusion Models cites this paper.

SketchAnimator: Animate Sketch via Motion Customization of Text-to-Video Diffusion Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 28

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no resolver link, observed 2026-08-05T22:22:43.916186Z

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source=pdf_text observed=2026-08-05T22:22:43.916186Z digest=sha256:88c6d6ea2bd195815c72a78374dfe5966d0db52b9c741d0ac7f89d54d2b4909d

Observation 7e92506b-94e9-4c67-b95d-87a9c77b9c0d · inbound

LINR Bridge: Vector Graphic Animation via Neural Implicits and Video Diffusion Priors cites this paper.

LINR Bridge: Vector Graphic Animation via Neural Implicits and Video Diffusion Priors DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 4

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source=pdf_text observed=2026-08-04T22:10:35.861521Z digest=sha256:54c8f4a3a21c77c916d07eefc239060d3c479f1efa0443e77cbc4a4983e25dfc

Observation 1cc67f2f-81b5-4349-a4dd-a5b9df4975ef · inbound

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models cites this paper.

Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 90

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arxiv_id, observed 2026-05-18T02:00:39.568065Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-18T01:59:23.928725Z digest=sha256:2efda28c67da45fd2b7ec6577beb42c638748d0d66562d3e9793044570a50455

Observation 850f5f9d-0fa0-4288-bdcc-a6ad4682acfb · inbound

iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance cites this paper.

iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 96

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arxiv_id, observed 2026-05-21T05:13:58.474020Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-21T05:11:34.441784Z digest=sha256:385a2cfea8f07efcc9d9fb4649387ce04e9c567547c00c8c9977bac1ee074b9a

Observation 132f5e31-9f32-4dc8-8faa-b07cd34935cf · inbound

DramaDirector: Geometry-Guided Short Drama Generation cites this paper.

DramaDirector: Geometry-Guided Short Drama Generation DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 39

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arxiv_id, observed 2026-07-04T14:59:55.951246Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-26T01:57:15.550335Z digest=sha256:39a721dfbddc6f21a615513da88cc26583dd61fb73eaf3714ca599d1b711b687

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

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models cites this paper.

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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source=pdf_text observed=2026-08-06T18:39:33.283876Z digest=sha256:a55ace3fd25b81bf7031c7278b54c6dc5c965da8e5cdc9a2f31233b0390bd85c