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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 4 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 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:21:06.265921Z

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.459515Z digest=sha256:dd2d647c2a7c1cbbe0a9aeb829dd7e8635abbaeb62d19d778763e341567bcf7f

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:df3775d7049b44d11c287b451eb1e42697b68bff60ceb18d0dc68a81453bdee9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.470590Z digest=sha256:ffc7e957a8073b577e0e1d0102f7775e1260c5114efed4e3fdfb4bdd9483f2b6

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=sha256:2512a4cf695998703556244a27a6340b677d2cd24dd7e9eeceb5d5b4b2cc8c67

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 2026-08-15T06:32:42.880941+00:00.

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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=sha256:53fdf0fb7c6fbf411c7ad0cf70a29cb3b3e9ef807303f262d1399367c67b3df5

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=sha256:0a29f85b36bc0aa929c0bebef77dda88c731657955172b0f82780c987ac03d3d

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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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.498904Z digest=sha256:758303b487e1cf3d88d683da66e539c2f74e9f05c3e86859a243d556c6ad1661

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.501860Z digest=sha256:7dc6b4c6a7801d66e2092775a190e8e7343e15d0d0f1558687c93b421c310a1d

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=sha256:521fd2ccf6eb92aae22f958d566d864ef0f9dae58340414de158bcc6de260cb1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.511091Z digest=sha256:4c6718fe59d77bb1fd063fd62aa66293059092701e51741740e38791ca4c9af5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.514050Z digest=sha256:e6fe3f05604adbe6cc54390b26b63b6c767b2b58292034b8cf58d0b757c63f0a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.517087Z digest=sha256:aef52583419a8863d0793c1f54a55905bad28e9fbbfcb042a4f5540b9c13d4d4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.520422Z digest=sha256:b974a3cd2652af3f20eb892e0a0b8101bd36447c0044256ec8ac89ea36ec34c7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.523267Z digest=sha256:1765290b1f520471403a06a7e6f27ae49d67705fe58b441b939212f2d2e7d2d5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.526150Z digest=sha256:1fea71b8ac99744079be2d31c3e2ad1c6a3aa986d31bb373e7132f407227e483

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: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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.535540Z digest=sha256:3c312144a00bee29a5fea212fd33ebf845544b9322d9218cd4b31c2fc3be7d3f

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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raw_fallback, observed 2026-08-08T05:55:09.843152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.538695Z digest=sha256:d33ca799162543a992dbc095e1e0d043eaab2e9823bb37998d8433f99335befa

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=sha256:5964009e93977a838427539a91d8e0a60a3f488fb7c60dc4ca600dc97bb91d11

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 2026-08-15T06:32:42.880941+00:00.

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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:e63ba3df94dd15b3e9b2f5b3c2e4df716b355c4c8e79b3d1148599ed6380d44e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.555016Z digest=sha256:c24719c1c90804af684f77e11dd24481a608950983a4937c738c9c453b9d1f4f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:55:09.557890Z digest=sha256:19a566c9912e0de6842959ce774465b3cca83cd76f1813148ee845ab94ced232

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.561086Z digest=sha256:057415842dc5bd9b9e708d19576a22d4cc0027e443c3148114afb12b6d57713c

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=sha256:73266c51623ec3742dc3d22d1b4e8c0c7869a93c3ced58375376396d37d7d8e4

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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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=sha256:5e3facd6dd9a532849fa228ec14ab4d571fc372ea493ab185856074d18ff342f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T05:55:09.574106Z digest=sha256:6f95424f239961125711ccd62730b0edcc276cd190b7b26e1bcff8769862d004

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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no resolver link, observed 2026-08-08T05:55:09.577163Z

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source=pdf_text observed=2026-08-08T05:55:09.577163Z digest=sha256:7585f3f3bebdd2359777d7e301fd40a6124ed2c826b2ffca1432ef2baa8f4648

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=sha256:6c9ef324e24a7d2aad447eb6284813b089a5ce12e68ec55d44613ee5963098b8

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

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source=pdf_text observed=2026-08-08T05:55:09.590157Z digest=sha256:c1516560915d86713b5b65120c32a45bea25db92975548d3d32b8efb6c015449

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:55:09.593280Z digest=sha256:11da944d882cf70635d3e8fa6374a8be7ee517b8ba8f35ca17bc460bb7273f85

Pith citing papers

Observation bc5b76f3-1cc3-4529-80f3-c08f4b57cb4e · inbound

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

Wonderland: Navigating 3D Scenes from a Single Image FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

Reference 46

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no resolver link, observed 2026-08-11T14:21:06.265921Z

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source=pdf_text observed=2026-08-11T14:21:06.265921Z digest=sha256:f520699f6962ccf1265f1ab496a1090991ca2db256d3e4086dcc64c4aca52285

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T17:51:41.947939Z digest=sha256:440e889b772f2a6a1156c63931c271ab298cdb20ca37b5141f0027c955aa01c0

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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unresolved
no resolver link, observed 2026-08-07T13:28:11.358246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:11.358246Z digest=sha256:e57b369b5b2992fc289a998ca7eb5eebb5236355dc5875c602627661e6985871

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T14:19:03.682306Z digest=sha256:96fc6623479fe41785f2e51afa69cc3c4477c12d086f36025286e3ffe2e410da