Paper Citation Record · LEDGER

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2412.17042.

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

pith.paper-citation-record.v1
2412.17042 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:52:42.590426Z

measured 37 of 37 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2331f83f-8edd-42ee-936b-da5080e6ef67 · outbound

This paper cites Video frame interpolation via deformable separable convolution,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Video frame interpolation via deformable separable convolution,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.403775Z

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.

Observation 301970d7-c151-4534-ae45-62d0b1b7c4e8 · outbound

This paper cites St-mfnet: A spatio-temporal multi- flow network for frame interpolation,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation St-mfnet: A spatio-temporal multi- flow network for frame interpolation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.387212Z

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Observation 8294e84d-dffd-41bd-9688-9b617424df45 · outbound

This paper cites Super slomo: High quality estimation of multiple intermediate frames for video interpolation,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Super slomo: High quality estimation of multiple intermediate frames for video interpolation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.370525Z

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Observation dd9a0170-2de5-429c-b165-a0adfc6df12a · outbound

This paper cites Softmax splatting for video frame interpolation,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Softmax splatting for video frame interpolation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.352424Z

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Observation fe7359e8-a6e4-4f8d-a39e-5a9b630da82f · outbound

This paper cites Xvfi: extreme video frame interpolation,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Xvfi: extreme video frame interpolation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.333934Z

Source-reported events for the cited work

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Observation 56285827-a476-4c96-b6b4-dc9c45f6cde5 · outbound

This paper cites Ifrnet: Intermediate feature refine network for efficient frame interpolation,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Ifrnet: Intermediate feature refine network for efficient frame interpolation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.313688Z

Source-reported events for the cited work

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Observation a599757a-26e9-4aa8-84d7-76fa26ca500e · outbound

This paper cites Ldmvfi: Video frame interpo- lation with latent diffusion models,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Ldmvfi: Video frame interpo- lation with latent diffusion models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.288804Z

Source-reported events for the cited work

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Observation 924adb21-c0bd-42c6-938a-84e45d5f4dc5 · outbound

This paper cites Video interpolation with diffusion models,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Video interpolation with diffusion models,

Reference 8

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Observation a0fd7602-3a91-4f35-9c7d-8a251c5a0eee · outbound

This paper cites Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation

Reference 9

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Source-reported events for the cited work

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Observation a95af689-80c7-4dee-8d2b-5200fecd30f3 · outbound

This paper cites Framer: Interactive Frame Interpolation.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Framer: Interactive Frame Interpolation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:42.428721Z

Source-reported events for the cited work

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Observation 973e5e65-ae81-4f7e-8549-7918996ea6cc · outbound

This paper cites Adding conditional control to text- to-image diffusion models,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Adding conditional control to text- to-image diffusion models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.229089Z

Source-reported events for the cited work

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Observation 2d543452-8882-4f58-a40d-55beb50ed10d · outbound

This paper cites Attention is all you need,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Attention is all you need,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.210055Z

Source-reported events for the cited work

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Observation 02145866-7757-412a-b808-5d8f38010fca · outbound

This paper cites Amt: All- pairs multi-field transforms for efficient frame interpolation,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Amt: All- pairs multi-field transforms for efficient frame interpolation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.191472Z

Source-reported events for the cited work

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Observation ab14d0b9-dc95-4269-9c7c-39887a9d3a1d · outbound

This paper cites Film: Frame interpolation for large motion,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Film: Frame interpolation for large motion,

Reference 14

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Source-reported events for the cited work

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Observation c72bf4ca-865a-4888-829d-9135b29ff202 · outbound

This paper cites Real-Time Intermediate Flow Estimation for Video Frame Interpolation.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Reference 15

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Source-reported events for the cited work

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Observation cb362fdc-5ac0-40a6-9392-1e218ddfeed0 · outbound

This paper cites Denoising diffusion probabilistic models,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Denoising diffusion probabilistic models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.153641Z

Source-reported events for the cited work

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Observation e6915843-1294-47b5-be45-04769954c945 · outbound

This paper cites Denoising diffusion implicit models,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Denoising diffusion implicit models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.129911Z

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.

Observation 4d927bcc-f4e9-4ca5-a177-c71cadcb6640 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Diffusion models beat gans on image synthesis,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.108996Z

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.

Observation e8a25654-e7e8-482d-88ff-4297fb8719b0 · outbound

This paper cites Classifier-free diffusion guidance,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Classifier-free diffusion guidance,

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.

Observation c2406feb-01ed-4610-aff6-516982e89263 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation High- resolution image synthesis with latent diffusion models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.067735Z

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Observation 95b524b0-3baf-4b9f-b443-0f6b4b0629f5 · outbound

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

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 21

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Source-reported events for the cited work

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Observation 59225bcc-cffe-4b53-9eee-63860aae916a · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Cogvideo: Large-scale pretraining for text-to-video generation via transformers,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.048290Z

Source-reported events for the cited work

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Observation cbeea0de-b040-402a-a2e6-c8aea070bde6 · outbound

This paper cites Animatediff: Animate your personalized text-to- image diffusion models without specific tuning,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Animatediff: Animate your personalized text-to- image diffusion models without specific tuning,

Reference 23

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Source-reported events for the cited work

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Observation 56b5529c-2207-4969-84c8-59635287442b · outbound

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

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Align your latents: High-resolution video synthesis with latent diffusion models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:43.011709Z

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Observation f2ae0b56-1897-45fe-b835-dde1093c2b79 · outbound

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

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Make-a- video: Text-to-video generation without text-video data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.986613Z

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.

Observation 03ef569a-19df-4752-89f4-98b19777a5b4 · outbound

This paper cites Sparsectrl: Adding sparse controls to text-to-video diffusion models,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Sparsectrl: Adding sparse controls to text-to-video diffusion models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.966861Z

Source-reported events for the cited work

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Observation 9594617a-05ae-4042-9a88-1a0083f13113 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Learning transferable visual models from natural language supervision,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.945748Z

Source-reported events for the cited work

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Observation 77e1e262-fcc6-4f9a-9325-b15ca4217e31 · outbound

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

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Raft: Recurrent all-pairs field transforms for optical flow,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.923448Z

Source-reported events for the cited work

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Observation a2294002-1da5-42d9-a398-f4f1c5ed7c10 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross- dataset transfer,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Towards robust monocular depth estimation: Mixing datasets for zero-shot cross- dataset transfer,

Reference 29

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Observation 33ae4ad5-a554-476c-a141-e12f4286f0b2 · outbound

This paper cites Cbam: Convolutional block attention module,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Cbam: Convolutional block attention module,

Reference 30

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Source-reported events for the cited work

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Observation 94a6af54-8c85-4227-a2eb-bc7465d90144 · outbound

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

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Frozen in time: A joint video and image encoder for end-to-end retrieval,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.861754Z

Source-reported events for the cited work

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Observation fc5b2918-c978-4204-bdbd-d1cb539bdd2d · outbound

This paper cites Video enhance- ment with task-oriented flow,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Video enhance- ment with task-oriented flow,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:42.561210Z

Source-reported events for the cited work

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Observation c407aa53-7c1d-49f2-abde-28565d43385e · outbound

This paper cites The 2017 davis challenge on video object segmenta- tion,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation The 2017 davis challenge on video object segmenta- tion,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.827851Z

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.

Observation b15f63d6-5fbf-4da5-a995-bc0f2ea78c92 · outbound

This paper cites Ucf101: A dataset of 101 human actions classes from videos in the wild,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Ucf101: A dataset of 101 human actions classes from videos in the wild,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.807226Z

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.

Observation 39da70c5-2e9d-471d-844b-4a834e3aa89b · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation The unreasonable effectiveness of deep features as a perceptual metric,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.786402Z

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.

Observation 33113146-270f-4482-b618-59eb3305b625 · outbound

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

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.761107Z

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.

Observation 3cff81f7-5900-40a4-aea1-388804dad26c · outbound

This paper cites On the content bias in fr ´echet video distance,.

Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation On the content bias in fr ´echet video distance,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:42.736746Z

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.

Pith citing papers

No inbound Pith citation observations are available.