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Paper Citation Record · LEDGER

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2502.08244.

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

pith.paper-citation-record.v1
2502.08244 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:55:09.593280Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:11.358246Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:24:45.161366Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b0d3678-734d-4f59-a2cb-212dd47e7dd7 · outbound

This paper cites https:// www.pexels.com.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis https:// www.pexels.com

Reference 1

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raw_fallback, observed 2026-08-08T05:55:09.965449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.459515Z digest=sha256:d04366e52a4f33f037eb72ad335438ffc277cdc75f1afe37d4c47601de8fdd9f

Observation 7218cf05-4aeb-4f88-a163-73fd6dbf10f7 · outbound

This paper cites VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:55:09.463397Z digest=sha256:79f0aee1a6f82b21ec0a99e71f446d4c39d2e175bf01be719ef6d66b3b256ec9

Observation 03586d14-cf6c-41f3-bc8d-4d9173f64af5 · outbound

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

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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source=pdf_text observed=2026-08-08T05:55:09.466954Z digest=sha256:ba71b61aa0cda79172f183c2c241d3fe3ad5622fab769cf00ec2eaea7dbd69a0

Observation 7fc683a8-14d3-46db-ae73-697415f6defe · outbound

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

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.470590Z digest=sha256:9805cc1d89ba690c5b5158e19e0032f765c58897167a9b2f9a556bec013f68f5

Observation 85c7ef84-5cb6-46c1-8603-12b7ae1defb6 · outbound

This paper cites Video generation models as world simulators.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Video generation models as world simulators

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T05:55:09.473630Z digest=sha256:75aa8c9c72d7e3de637484f727178e93122bd1f6f655287e5362457b54540077

Observation 592341d5-e8c8-453f-9907-9d8b092b7e82 · outbound

This paper cites Motion-Conditioned Diffusion Model for Controllable Video Synthesis.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Motion-Conditioned Diffusion Model for Controllable Video Synthesis

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:55:09.476586Z digest=sha256:b1f4662b606a4e142b4f56613fe3c3a6f4abf3b7696ab83b568dd3fb5bca3385

Observation 8a916803-bdf3-4db7-b149-f061a0cd4b13 · outbound

This paper cites Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis

Reference 7

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local_arxiv, observed 2026-08-08T05:55:09.758450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.479963Z digest=sha256:d3feec731027fa727c207c28eb16f93620d7afb1deb2980817915495c6f6006b

Observation 11f376db-2981-4b4f-affa-b3dfbd004e66 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:55:09.483189Z digest=sha256:1cc3f1d1805c3a2e85f09abe5409941d0f7d403fc618e5f829defd6e4f60dc0d

Observation 1a14b166-14ed-4204-b83a-ea553eab77dc · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:55:09.486354Z digest=sha256:dc740791496952392fedf0dbd5561e3eefdee8f795968e7c4c2ce8105396bc4e

Observation 486ee2df-eacd-4bd5-8b06-976b173ff654 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 10

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source=pdf_text observed=2026-08-08T05:55:09.489626Z digest=sha256:e5c27f401ebcb1d508d4a49ce5e3b9d6172d3eb1a3ca216cce5dee451a64646c

Observation d93eb558-bf96-4c50-989b-2d9be3c581c0 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 11

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source=pdf_text observed=2026-08-08T05:55:09.492642Z digest=sha256:d96f6211e852e0d8ad5e7e0882ce2bad8218e287955da9c27a357d3b9bd90bb1

Observation 5699a1e7-7f6c-44ef-a91c-cf63658831d5 · outbound

This paper cites Video dif- fusion models.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Video dif- fusion models

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.495851Z digest=sha256:fc588642d2e1baab907dec7003cbc7d4f8aad65b9801f449f21f20d8e2114400

Observation 211b44e2-25b9-470e-8999-99c8cd539197 · outbound

This paper cites Animating pictures with eulerian mo- tion fields.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Animating pictures with eulerian mo- tion fields

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.498904Z digest=sha256:b1f4fb0a2eff71beaeacb61308e8bec2a0e046379816e201c79ee9f29364b57c

Observation 9766c401-c410-4e9c-8a0e-f65ef64327c2 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Elucidating the design space of diffusion-based generative models

Reference 14

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raw_fallback, observed 2026-08-08T05:55:09.919141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.501860Z digest=sha256:c71769ff83a4493e37badaf34d865efe7846278ecba5688dea68fabe7e218bf7

Observation bc7ebaf4-9dff-4381-a912-3946fb582e2a · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 15

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source=pdf_text observed=2026-08-08T05:55:09.504916Z digest=sha256:7749f05fa0f9346c224aaf07f1ab96d44f0b99a57c1caa595601fc3c6bcdd08e

Observation a60415cd-777d-462d-b020-dc456a44ccd4 · outbound

This paper cites Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control

Reference 16

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source=pdf_text observed=2026-08-08T05:55:09.507761Z digest=sha256:006371d788be594d294eaa32a975497ef51496fdb0a6e5c298cc4ac800c07896

Observation 80159666-edef-40fc-b291-ddab00a74e02 · outbound

This paper cites Generative image dynamics.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Generative image dynamics

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.511091Z digest=sha256:ef2fc4ecf67ffa4a65aea237f3561d74a3f8f77a730fcf890615d0e8866f5a02

Observation 201ef9c0-5bc9-47d0-8a09-090223622f79 · outbound

This paper cites Movideo: Motion-aware video generation with diffusion model.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Movideo: Motion-aware video generation with diffusion model

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.514050Z digest=sha256:48c74f0059c0178c580d9d00b3600c3ccebb5a76b53a2694a85dbcf532e7c05b

Observation 9b43ec99-7391-4638-a321-f11a325b86ab · outbound

This paper cites Controllable animation of fluid elements in still images.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Controllable animation of fluid elements in still images

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.517087Z digest=sha256:cbc06578924d9af3dc460c39b74b3b0215cbbab7f56a19670568a49379e2089b

Observation fea4d456-1fde-4725-ab2f-bf63f67d0ac6 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.520422Z digest=sha256:6f1efd9815d54cf37ff36d628503d146bde9496e0ea245f80c4bf1a43c90d1d6

Observation 40672359-50e1-463f-90df-20722ae78a9c · outbound

This paper cites Conditional image-to-video gener- ation with latent flow diffusion models.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Conditional image-to-video gener- ation with latent flow diffusion models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.523267Z digest=sha256:d724d95a9369fa995b9d44096638f5f0704bceb7329754ef651bea787d974e63

Observation 1c1c3a45-a406-448b-ac23-81cb4a8d5ccf · outbound

This paper cites Global structure-from-motion revisited.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Global structure-from-motion revisited

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.526150Z digest=sha256:b2d0723323dfc8f53aa0c48532f35e0e8b7a9f8826ecb81d3953c8aef74c00f2

Observation 2bae2d54-4924-47d2-b9dc-e509da7c40d9 · outbound

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

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Movie Gen: A Cast of Media Foundation Models

Reference 23

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source=pdf_text observed=2026-08-08T05:55:09.529053Z digest=sha256:03ec619604ab49ef65cb9e868faf88968f6e7d7f89c94f86a0bcce0fd89bf625

Observation 54869f2d-f307-45a8-b4a0-1cab8323f766 · outbound

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

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis SAM 2: Segment Anything in Images and Videos

Reference 24

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source=pdf_text observed=2026-08-08T05:55:09.532109Z digest=sha256:c1ece272db3acc3a5d7fd9683a37fdce0b0b96ad80e6e175a1bbc4414717f766

Observation 132391ae-6ef9-4988-a3b2-d7276b6fbdad · outbound

This paper cites Improved techniques for training gans.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Improved techniques for training gans

Reference 25

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.535540Z digest=sha256:17672b6daba4809f8f23fe380bb7287ab069b5b3060acedbc7f04e8916a7fa76

Observation e1198e7b-ef4c-4f69-86af-35f786bf525b · outbound

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

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.538695Z digest=sha256:022d428371f2ece2c61194956026b4f74d1ab96061869994d44cecf84631dc03

Observation d920ba15-5336-4472-932e-6ca379ba59d3 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 27

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Observation 4b104720-a4f1-46ed-af26-a149051864ff · outbound

This paper cites Light field networks: Neu- ral scene representations with single-evaluation rendering.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Light field networks: Neu- ral scene representations with single-evaluation rendering

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.545521Z digest=sha256:9a726cb12ef2ac6d7b0f0bab8dd7c061be25dd1c1bf2b0f7aa33f97875d83cae

Observation 7c8b40d3-2e25-4b47-8b64-2869ec4edd34 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Raft: Recurrent all-pairs field transforms for optical flow

Reference 29

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source=pdf_text observed=2026-08-08T05:55:09.548540Z digest=sha256:268d5d46a34f1ac73e38e15b0620a21c6b6459d64601f6339a3c85fc1f275a14

Observation fa399584-d024-4bc7-983a-78494f472cda · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 30

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T05:55:09.551690Z digest=sha256:38ee3cbc47c7492d277f486d7b0f48fa5bcae04c90f86498e128dbc39e9c1d2a

Observation 6dda5395-c6af-4223-8cc2-692deee3db63 · outbound

This paper cites Microcinema: A divide-and- conquer approach for text-to-video generation.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Microcinema: A divide-and- conquer approach for text-to-video generation

Reference 31

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raw_fallback, observed 2026-08-08T05:55:09.819664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.555016Z digest=sha256:b9e44be96edd841f4594cdcd7ec3fbd92e38884d50ac333ca3c79a4238df8b93

Observation 539a4f95-d8df-41cc-b5ab-cd90acf3cde7 · outbound

This paper cites HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

Reference 32

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source=pdf_text observed=2026-08-08T05:55:09.557890Z digest=sha256:637f5e35129681f4090a624be96a1000031b3d402e42ece5a4b2c158b882a0d8

Observation 9ffbc7bd-56df-4452-822d-30d703cf2d39 · outbound

This paper cites Mo- tionctrl: A unified and flexible motion controller for video generation.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Mo- tionctrl: A unified and flexible motion controller for video generation

Reference 33

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raw_fallback, observed 2026-08-08T05:55:09.810275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.561086Z digest=sha256:ffe21e6ef868ea1e6a568c0b9bc22a8fc0c3d2006023994e7c8ce3e32b18bfcb

Observation b60f893e-8968-4f8c-a47f-18b4cf7ccd15 · outbound

This paper cites Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:55:09.564002Z digest=sha256:98710282453b0b1d516e177a974f22ab8c96e338e77bc683fbaa4badfc5ff1e9

Observation 67803f0c-1c65-4612-86af-090a558b04dc · outbound

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

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 35

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source=pdf_text observed=2026-08-08T05:55:09.567231Z digest=sha256:b4ffbc0ae7709482dd185622f54696e099a82c22596e8797416a66bdec2b6eeb

Observation f47ca7a2-6939-469f-8ef9-d25f65cf4acb · outbound

This paper cites Depth Anything V2.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Depth Anything V2

Reference 36

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source=pdf_text observed=2026-08-08T05:55:09.570989Z digest=sha256:5e3facd6dd9a532849fa228ec14ab4d571fc372ea493ab185856074d18ff342f

Observation b7e66ed8-99cd-4f48-87f4-f28d215c2c2d · outbound

This paper cites Direct-a-video: Customized video generation with user- directed camera movement and object motion.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Direct-a-video: Customized video generation with user- directed camera movement and object motion

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-08T05:55:09.800762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:55:09.574106Z digest=sha256:da9d3c772286ea4b3ae3da778fa54c91f4ca43e86f9378547db99f3f19f31be6

Observation 13fca383-030c-4f69-8bbb-c1051bdfc870 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 38

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source=pdf_text observed=2026-08-08T05:55:09.577163Z digest=sha256:a205b39b1bd6e96dea144b9eee93223fbbbf1e183266e1a5c08477d87dd54b2d

Observation 4edc04c2-ebb7-4d8c-82cf-2956db78cbdc · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 39

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no resolver link, observed 2026-08-08T05:55:09.580418Z

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source=pdf_text observed=2026-08-08T05:55:09.580418Z digest=sha256:d856ef6bf6b1eac93d2a0e513bdc0eb7836cb424b51142ea7aa5377004f94174

Observation f77a099a-a19f-4eeb-9b64-1eec7882bba9 · outbound

This paper cites ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning

Reference 40

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no resolver link, observed 2026-08-08T05:55:09.583649Z

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source=pdf_text observed=2026-08-08T05:55:09.583649Z digest=sha256:7fd375c845fd683200def5d73f8a61b47438555fa7b7802f8421e035f102869e

Observation c95be5d2-7d5f-4f22-8466-d1db7d18a4a0 · outbound

This paper cites Thin-plate spline motion model for image animation.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Thin-plate spline motion model for image animation

Reference 41

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unresolved
no resolver link, observed 2026-08-08T05:55:09.587088Z

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source=pdf_text observed=2026-08-08T05:55:09.587088Z digest=sha256:2788ff3569edca2671b9e48da3b0d22f5f00b52309fa8f5f3e8da1aabfe000aa

Observation 739f161a-8899-44f4-83dc-8eb570d64dc0 · outbound

This paper cites CamI2V: Camera-Controlled Image-to-Video Diffusion Model.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis CamI2V: Camera-Controlled Image-to-Video Diffusion Model

Reference 42

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no resolver link, observed 2026-08-08T05:55:09.590157Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T05:55:09.590157Z digest=sha256:efbc76e96caa2c2c9d7a0044379ec243a398a2bbc20d8c997f0359d41eacb840

Observation 1425450f-6c90-401e-8a3c-91f99b51099a · outbound

This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Stereo Magnification: Learning View Synthesis using Multiplane Images

Reference 43

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source=pdf_text observed=2026-08-08T05:55:09.593280Z digest=sha256:0c2bb3ba82db7bd590810cfc37cc2b299b432a74d34b0779391ef0056386431c

Pith citing papers

Observation d56d71a7-bf46-4914-aa49-fb0335bedde8 · inbound

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute cites this paper.

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

Reference 28

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verified exact
arxiv_id, observed 2026-05-22T17:51:54.397006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T17:51:41.947939Z digest=sha256:9fc30f265a0f88a47d7a60e0c6c6e6201b09fe56dffda96319b388ad13bc648e

Observation 4be91fec-daf7-4f45-a987-17fd2e331409 · inbound

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance cites this paper.

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

Reference 31

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source=pdf_text observed=2026-08-07T13:28:11.358246Z digest=sha256:f770ce76673b6abca9594cd85a80ee471169a9d8ecce13a0b372c9afe4067841

Observation 50621a55-f3ee-42b9-be3a-a437054f123a · inbound

Unified 3D Scene Understanding Through Physical World Modeling cites this paper.

Unified 3D Scene Understanding Through Physical World Modeling FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:24:45.162870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T14:19:03.682306Z digest=sha256:7f5459e547a7daf0ce197faab26facaa239c8b5cd0dba5c1c77eee2d29019065