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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.459515Z digest=sha256:1839298fd17956d580a2eceae27bc689fcc648f4cb71e86fbdf42b6f9f7e6cef

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:b570f181a968c3a43ab01f16e7f0ab0a5e3aaa91378b173baa257857ef27c95c

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:e44b7c4163d8102cba9304fda9e2ce941d3d122e48139e3c56037be4c8dd8085

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.470590Z digest=sha256:23a635df480d528acb3db5f462994e75c897126bd6452395bd523718ba718258

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:55:09.473630Z digest=sha256:3d802994e38ddc69c161814d1c28d83ae654a72f21db5ad10c18983de452b74c

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=sha256:3bbf0f7222b5b9c41dee657201fb351ad73d54a569c06752c3ea019a8e84a991

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.479963Z digest=sha256:d9e4b7047d5d66725001fb8c0991404922f3f589fc6c52bec9d1482e950d7119

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:b928bf66de5e5515e794ab99ab4e55d219dbebc5bb9bd4bdf5da173cdc91bf79

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

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source=pdf_text observed=2026-08-08T05:55:09.486354Z digest=sha256:b8c02cd4cda416df86e9f84a3dc2bef613f3a789abefcfc9c15ecab3c8e305b4

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:c75e797d15526588444ac826587508b96b9e3e8ab5129691f81e5b066bcc277e

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=sha256:59d912b7560ce3438aafa0217a8ebea696b09207568f5a043e9ac2f3d797d342

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.498904Z digest=sha256:ab6721f37f6edfa9d10f74772228a7232a859b6ba315c67622a43b91059c366a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.501860Z digest=sha256:c70e530d53be849c866ca5088a59fef49be0c95e7e8740cbe1a110bf7dc73726

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:b4c33cc9d6e2f6b2e317c413cf6c624e942fb9ff648ec54ee0e89ccea63615f2

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=sha256:70e206ca6d927bb7e00234d391f7dce0300e3c95f3c94a9ad692f394a71776eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.511091Z digest=sha256:0eaf31c072dd7fa79cab961ac04110ce73ed4ae25e3cd3bb50cf88bc4012475b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.514050Z digest=sha256:98a309c3646f1f000355d043f48df9730127b81e3ef1152bae951ec21b9ab235

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.517087Z digest=sha256:13b930e51060511bc8a68c52aa2c314ed6c4d5514350a7c642e338a3074be129

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.520422Z digest=sha256:dbf5057bd5a0057f77f6542e30eb3bab5e8197a8fb03b7b7a098eb1b09f5597f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.523267Z digest=sha256:a49fd07f2e95a2a1822d45c7d5d21a603bb7590edba10d23e06b587277b88c2f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.526150Z digest=sha256:2bde32d0ca9dd2457e92c32c92180c3d65dd1ab86c5a83855a1d09445cd1bedf

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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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=sha256:24bd753621c09bb9e132ce554d3f1215aa4c80f66dc6b8c41c1cb9a17df0df6a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.535540Z digest=sha256:253e61d0cd45d66d110a4c3414880798d8355d75fd0142b21825da24738146e1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.538695Z digest=sha256:8c4ae01bc128ad1d9d244267a51b4e5f8afe10b4c8e8d85bf968a7a97aeb9e19

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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source=pdf_text observed=2026-08-08T05:55:09.541532Z digest=sha256:a4b0db23ed28db6022ed2c73b652073b95b21be16894e23385496a9b1d020809

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.545521Z digest=sha256:c068b804950dfd4b209aaa04e284bb0ffdbc6c48529b1c742d5dfe4c980f8b85

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:f76cd6fb0bcfdd56cce44c67e20d51be9d94a6728de25bdd41cf5a156b65511c

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=pdf_text observed=2026-08-08T05:55:09.551690Z digest=sha256:1e99471156b632333a49306d4b73c8fb30b00edac1320cb5a4f58716ef88381b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.555016Z digest=sha256:1305740803f1e8be2069b148dedb4ea0a3e744f60eedea82a2769cffa86e800a

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-reported events for the cited work

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source=pdf_text observed=2026-08-08T05:55:09.557890Z digest=sha256:7ac384a91b9167a23f8872f91899afbbb6c0e663e9807246fd61f9a9761b1391

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.561086Z digest=sha256:9fde2116aa533c5f9f0ca2829866bdf1a7fe9e100b36efe91ca199b52a3a9ef8

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=sha256:81babc12ee7fdbe5451bfeefe66c876ca2d8707f1da8cde8e6d8051d03dc27e7

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=sha256:563a11f4a32b09ee3d48dfc8bcac053193d77b52f99713b847fff98f613dacab

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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no resolver link, observed 2026-08-08T05:55:09.570989Z

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source=pdf_text observed=2026-08-08T05:55:09.570989Z digest=sha256:294e4e598dd28e5bf77d7eb65791af447c879dee15736f25b15f335f020d06e0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:55:09.574106Z digest=sha256:07a588b25176b3947da5fc1f67c44a1a3649f6f90b9cb4382bb1699530b5c184

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:dfd6d78d757af795278e8ae2dc14c4ab2a23744836e393c1b2977b2d2fcc02ea

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:f50bcddec43d08fe8046c71fa69a5b82666b3999fd9461bbd7d673f4c600a7f9

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:a7d299d363a73adae72772a8eb7d6450643bf60c1241c5c03e273fd1e197f740

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:dab5ad1b9c6d1e2a53f66b02d5f5a5e88f2c7c2d514687b69998790c22020ff4

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

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source=pdf_text observed=2026-08-08T05:55:09.590157Z digest=sha256:c0c8d255727901a1bdabea991b16b5ed7bd2ac0c26b2f5f15489cd453d83fd9a

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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no resolver link, observed 2026-08-08T05:55:09.593280Z

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source=pdf_text observed=2026-08-08T05:55:09.593280Z digest=sha256:2717d2076695dffae4df25c79d2a153ae152a37be752eacf2700c5c264f91f04

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T17:51:41.947939Z digest=sha256:860a1960d08e7af1636efbcd80aab80ae5c5156c11d34d43f495395e3d68eed1

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:e885118e12c48abb28c6e5feb93320833cbbb34ed4ab9486eff496df48a248dd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T14:19:03.682306Z digest=sha256:3b32899104b13580db52b60534d9c542251f222448a5879829ee67a32519da45