Paper Citation Record · LEDGER

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation

As of 14 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2412.11755.

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

pith.paper-citation-record.v1
2412.11755 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:40:28.957264Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:43.196344Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:39:52.377581Z

Reference resolution

61 of 61 outbound references displayed

verified exact0
verified fuzzy35
unresolved26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 370265c0-95b4-4416-be0b-e048c8433d83 · outbound

This paper cites A database and evaluation methodology for optical flow.IJCV, 92:1–31,.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation A database and evaluation methodology for optical flow.IJCV, 92:1–31,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.900100Z

Source-reported events for the cited work

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

Observation 58640f82-3c47-430a-b3e5-de7e275f4ba8 · outbound

This paper cites Depth-aware video frame interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Depth-aware video frame interpolation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.866428Z

Source-reported events for the cited work

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Observation 9d49babf-ab98-42b6-9a81-6a3862b45784 · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.273562Z

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Observation c1755730-1b5f-4e64-b7e2-376e1ae31427 · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.286276Z

Source-reported events for the cited work

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Observation a2de8286-ef77-4f6c-9261-3d08e261c9d7 · outbound

This paper cites Improving the percep- tual quality of 2D animation interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Improving the percep- tual quality of 2D animation interpolation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.791213Z

Source-reported events for the cited work

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

Observation 4c8cff9c-1786-433c-a56e-d6c3f72f9058 · outbound

This paper cites Ldmvfi: Video frame interpolation with latent diffusion models.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Ldmvfi: Video frame interpolation with latent diffusion models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.754049Z

Source-reported events for the cited work

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

Observation 5e2cb287-ce13-4b61-b5fe-7c8f083d2cc2 · outbound

This paper cites Ex- plorative inbetweening of time and space.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Ex- plorative inbetweening of time and space

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.720959Z

Source-reported events for the cited work

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

Observation ab680a3b-e572-4a3f-9521-73c55a1911b7 · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 8

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Source-reported events for the cited work

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Observation 7ee20e82-a831-46fc-8c81-f1a163a1fc92 · outbound

This paper cites Deep residual learning for image recognition.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Deep residual learning for image recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.494273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d8ac46-0f96-40ec-871b-525ccc22001a · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.665050Z

Source-reported events for the cited work

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Observation d857ac20-89ca-4917-8b73-e66f99fc0687 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Denoising dif- fusion probabilistic models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.626494Z

Source-reported events for the cited work

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Observation fb926706-3449-4c10-9d4b-0e50bb1f20aa · outbound

This paper cites Animate anyone: Consistent and controllable image- to-video synthesis for character animation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Animate anyone: Consistent and controllable image- to-video synthesis for character animation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.591984Z

Source-reported events for the cited work

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

Observation 41836b38-8890-4db2-8f5e-ffb0c8e37813 · outbound

This paper cites Iq-vfi: Implicit quadratic motion estima- tion for video frame interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Iq-vfi: Implicit quadratic motion estima- tion for video frame interpolation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.560268Z

Source-reported events for the cited work

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Observation 9579fd10-c578-435d-b9da-1902b5ed0da3 · outbound

This paper cites Real-time intermediate flow estimation for video frame interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Real-time intermediate flow estimation for video frame interpolation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.528865Z

Source-reported events for the cited work

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Observation 7c6e4e9f-0f17-44a0-9580-610a2edb1de2 · outbound

This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Vbench: Comprehensive bench- mark suite for video generative models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.492819Z

Source-reported events for the cited work

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Observation aec69fbe-3ec1-4bbf-a5e6-937525b7fb8e · outbound

This paper cites Motion-aware Latent Diffusion Models for Video Frame Interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Motion-aware Latent Diffusion Models for Video Frame Interpolation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.549561Z

Source-reported events for the cited work

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Observation f9e233c3-a1d7-41b2-90f6-f88f40a060d8 · outbound

This paper cites Video interpolation with diffusion models.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Video interpolation with diffusion models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.464343Z

Source-reported events for the cited work

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

Observation a188c3d1-8aef-4344-89c3-9d10326f0e67 · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Super slomo: High quality estimation of multiple intermediate frames for video interpolation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.426282Z

Source-reported events for the cited work

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

Observation d9c02039-e952-4e02-bd29-a8f8f4e61f3b · outbound

This paper cites Kingma and Max Welling.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Kingma and Max Welling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.385310Z

Source-reported events for the cited work

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Observation ae4d4137-7f97-4026-8999-8e4a02bdd415 · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Ifrnet: Intermediate feature refine network for efficient frame interpolation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.350424Z

Source-reported events for the cited work

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

Observation 1b3c76cf-abc9-42d2-bb17-1cf8f1ac78af · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Amt: All-pairs multi-field transforms for efficient frame interpolation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.323677Z

Source-reported events for the cited work

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

Observation def68898-9c17-48e8-a0fe-e88724def6c2 · outbound

This paper cites Sparse global matching for video frame interpolation with large motion.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Sparse global matching for video frame interpolation with large motion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.287411Z

Source-reported events for the cited work

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Observation fe031522-b7d5-46a6-944d-f67ac3365c40 · outbound

This paper cites Fr\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Fr\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos

Reference 23

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Source-reported events for the cited work

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Observation f82571f6-a8a9-418c-af48-dc8bb28fe0df · outbound

This paper cites Video frame synthesis using deep voxel flow.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Video frame synthesis using deep voxel flow

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.254750Z

Source-reported events for the cited work

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Observation 268e1c7a-73fd-47ff-a09d-f7d3f7bf7e8e · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.227297Z

Source-reported events for the cited work

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

Observation d399219f-8cea-4317-b2c8-05e905b18069 · outbound

This paper cites Softmax splatting for video frame interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Softmax splatting for video frame interpolation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.186449Z

Source-reported events for the cited work

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

Observation 56cab792-f666-4e67-8fe3-98c9d29fc66a · outbound

This paper cites Video frame inter- polation via adaptive separable convolution.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Video frame inter- polation via adaptive separable convolution

Reference 27

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Source-reported events for the cited work

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Observation f1000f09-6144-4422-8852-f3d4eb488a6a · outbound

This paper cites On aliased resizing and surprising subtleties in gan evaluation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation On aliased resizing and surprising subtleties in gan evaluation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.137377Z

Source-reported events for the cited work

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Observation f43077f9-8227-4c16-bf99-243d3fcae913 · outbound

This paper cites Gluestick: Robust image matching by stick- ing points and lines together.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Gluestick: Robust image matching by stick- ing points and lines together

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.106572Z

Source-reported events for the cited work

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Observation 1ce5cd37-3de7-42c7-9bf1-c83b01e7f796 · outbound

This paper cites ControlNeXt: Powerful and Efficient Control for Image and Video Generation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.689085Z

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Observation a2c8ea9e-65b6-47f6-b2df-b497ab09d545 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation The 2017 DAVIS Challenge on Video Object Segmentation

Reference 31

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Source-reported events for the cited work

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Observation a91e172b-366b-48ad-870b-15455cdbe5e7 · outbound

This paper cites Film: Frame interpo- lation for large motion.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Film: Frame interpo- lation for large motion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.081152Z

Source-reported events for the cited work

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Observation a2d1fd23-95ed-4f20-a855-983362002e3b · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation High-resolution image syn- thesis with latent diffusion models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.722755Z

Source-reported events for the cited work

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Observation 649fb0ee-ad66-4ece-9bbf-30e427235d1f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation U-net: Convolutional networks for biomedical image segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:30.020598Z

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Observation ec8d8e9f-cc19-451d-ae99-7ce9843b8517 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 35

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Source-reported events for the cited work

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Observation e9fc7054-5ed3-49dd-a3e1-a58104997c45 · outbound

This paper cites Bridging the gap: Sketch-aware interpola- tion network for high-quality animation sketch inbetween- ing.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Bridging the gap: Sketch-aware interpola- tion network for high-quality animation sketch inbetween- ing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.986617Z

Source-reported events for the cited work

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Observation fdef3ce1-fc55-45b9-83fd-b4cb0c623d59 · outbound

This paper cites DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.753754Z

Source-reported events for the cited work

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Observation 6f6cbc1d-3339-4dff-8d55-d6ba315c5bce · outbound

This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Dragdiffusion: Harnessing diffusion models for interactive point-based image editing

Reference 38

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Source-reported events for the cited work

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Observation 5fb9734e-ec89-432e-845f-26fd0c7bd1a1 · outbound

This paper cites Xvfi: ex- treme video frame interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Xvfi: ex- treme video frame interpolation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.926853Z

Source-reported events for the cited work

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Observation 388ab69c-ab0f-49e1-b914-fd1694d31413 · outbound

This paper cites Deep animation video interpolation in the wild.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Deep animation video interpolation in the wild

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.896736Z

Source-reported events for the cited work

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Observation 53017442-ab01-4c75-84ba-c173b2bd7a49 · outbound

This paper cites Deep geometrized cartoon line inbe- tweening.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Deep geometrized cartoon line inbe- tweening

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.857331Z

Source-reported events for the cited work

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Observation 85b6e313-0b68-4913-9ceb-e1ec3fac1ff0 · outbound

This paper cites Fvd: A new metric for video generation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Fvd: A new metric for video generation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.823546Z

Source-reported events for the cited work

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Observation 906b6303-4fd1-439c-b968-57e42dd156dc · outbound

This paper cites Mcvd-masked conditional video diffusion for prediction, generation, and interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Mcvd-masked conditional video diffusion for prediction, generation, and interpolation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.794071Z

Source-reported events for the cited work

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

Observation e6cda389-0b78-4e76-8dd8-82297a6c1286 · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.809355Z

Source-reported events for the cited work

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Observation 5dac180c-74c3-44d8-9634-5de1f425a9bd · outbound

This paper cites Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.819135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fbe16cd-a1d2-4022-9e93-72ccd99f549a · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Motionctrl: A unified and flexible motion controller for video generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.826761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c5ae3d-5d13-4690-ac7c-28c0dd1cf1d6 · outbound

This paper cites Perception-oriented video frame interpolation via asymmetric blending.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Perception-oriented video frame interpolation via asymmetric blending

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.746302Z

Source-reported events for the cited work

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Observation da0d7a6e-821f-4077-b402-d860c4adf051 · outbound

This paper cites ToonCrafter: Generative Cartoon Interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation ToonCrafter: Generative Cartoon Interpolation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.857376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fbe934a-eeb7-454b-9884-1c49554480d0 · outbound

This paper cites Dynamicrafter: Animating open-domain images with video diffusion priors.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Dynamicrafter: Animating open-domain images with video diffusion priors

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.715653Z

Source-reported events for the cited work

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

Observation 359f0fcd-0fc3-4ccf-bbb3-eb1b04128fe8 · outbound

This paper cites ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.872786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f8bab4-fca8-4357-98ea-74d2467a26f6 · outbound

This paper cites Effec- tive whole-body pose estimation with two-stages distillation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Effec- tive whole-body pose estimation with two-stages distillation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.683188Z

Source-reported events for the cited work

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

Observation 52535859-5802-41e1-b3ba-a131e7a86a83 · outbound

This paper cites Extracting motion and ap- pearance via inter-frame attention for efficient video frame interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Extracting motion and ap- pearance via inter-frame attention for efficient video frame interpolation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.651481Z

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Observation f2983a61-1bb3-486b-82c5-ad055c01fccc · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Adding conditional control to text-to-image diffusion models

Reference 53

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Observation 4448e250-9d61-49d8-9b5b-12d7344212b6 · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation The unreasonable effectiveness of deep features as a perceptual metric

Reference 54

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Observation 0a040975-c4c0-45e2-a5bd-3d247d781e77 · outbound

This paper cites MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.910442Z

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Observation f181062d-1839-48c7-a464-c0dcac7442c0 · outbound

This paper cites Controlvideo: Training-free controllable text-to-video generation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Controlvideo: Training-free controllable text-to-video generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.917434Z

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Observation 95415354-686b-454f-8344-77f91c79db26 · outbound

This paper cites Clearer frames, anytime: Re- solving velocity ambiguity in video frame interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Clearer frames, anytime: Re- solving velocity ambiguity in video frame interpolation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:40:29.556627Z

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Observation cb6ec6a7-6a5e-4ae3-9057-c7edb5012e6c · outbound

This paper cites Exploring motion ambiguity and alignment for high-quality video frame interpolation.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Exploring motion ambiguity and alignment for high-quality video frame interpolation

Reference 58

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Observation 0f16ec17-1c46-4885-874d-8260e2c3aed9 · outbound

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

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Stereo Magnification: Learning View Synthesis using Multiplane Images

Reference 59

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Observation b2364de5-9d23-4d8d-9f3a-acfde16b6458 · outbound

This paper cites Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.950132Z

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Observation 96f26f76-f166-4496-bdc9-041c4414d85a · outbound

This paper cites Thin-Plate Spline-based Interpolation for Animation Line Inbetweening.

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation Thin-Plate Spline-based Interpolation for Animation Line Inbetweening

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:28.957264Z

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Pith citing papers

Observation 29a2fbe7-7293-4d80-8881-522a1201d10c · inbound

DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation cites this paper.

DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation Generative Inbetweening through Frame-wise Conditions-Driven Video Generation

Reference 122

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:43.196344Z

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Observation 5a7f2291-769f-400e-8f94-10e9f6ca71ca · inbound

Semantic Frame Interpolation cites this paper.

Semantic Frame Interpolation Generative Inbetweening through Frame-wise Conditions-Driven Video Generation

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:39:52.433183Z

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