Paper Citation Record · LEDGER

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation

As of 13 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2412.07761.

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

pith.paper-citation-record.v1
2412.07761 v2

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:35:26.671034Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:13:23.110984Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T15:13:23.433063Z

Reference resolution

67 of 67 outbound references displayed

verified exact0
verified fuzzy41
unresolved23
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4d55b9a-9175-4a92-bbe9-09dfe4b6fff3 · outbound

This paper cites Depth-aware video frame interpolation.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Depth-aware video frame interpolation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.801914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67545779-4518-4303-b751-7c6f295c0a67 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.785878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d561b135-50df-46a5-8eee-6325e2265167 · outbound

This paper cites Simultaneous optical flow and intensity estimation from an event camera.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Simultaneous optical flow and intensity estimation from an event camera

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.769764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ef8c4eb-0925-4e27-9f7a-12c7a8f69bda · outbound

This paper cites Contour motion estimation for asynchronous event- driven cameras.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Contour motion estimation for asynchronous event- driven cameras

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.755844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 692ba120-55ab-4f13-bf39-c03fe662c5b4 · outbound

This paper cites Real-time clustering and multi-target tracking using event- based sensors.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Real-time clustering and multi-target tracking using event- based sensors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.739871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1b34085f-0715-4533-93ef-482eff001e0d · outbound

This paper cites Asynchronous frameless event-based optical flow.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Asynchronous frameless event-based optical flow

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.707748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f9afac6-b523-4677-9977-9b4f35849a99 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.406105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bf00190-6035-4aea-8b23-86bdfa209f4d · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.689212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35d03f2c-e3ba-4637-8ec1-1c6dd9e56af9 · outbound

This paper cites Sparse-e2vid: A sparse convolutional model for event-based video reconstruction trained with real event noise.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Sparse-e2vid: A sparse convolutional model for event-based video reconstruction trained with real event noise

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.670586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 579bb7f2-eec1-43e1-8654-55155b316285 · outbound

This paper cites TimeRewind: Rewinding Time with Image-and-Events Video Diffusion.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation TimeRewind: Rewinding Time with Image-and-Events Video Diffusion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.424065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5de89a-f96e-4811-a343-dd429ce98db1 · outbound

This paper cites Explo- rative inbetweening of time and space.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Explo- rative inbetweening of time and space

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.654559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e50ba957-d9c7-48c6-bf0d-13f6dcbab88a · outbound

This paper cites Event-based vision: A survey.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Event-based vision: A survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.636702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e805949e-ab19-4486-9ace-75c03d1be05a · outbound

This paper cites Digital image processing.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Digital image processing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.621283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f7326ec-f652-4c82-af1c-32dbe810a978 · outbound

This paper cites Generalizable implicit motion modeling for video frame interpolation.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Generalizable implicit motion modeling for video frame interpolation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.605589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37484800-a605-413d-9b30-81e6f2e62219 · outbound

This paper cites Microsaccade-inspired event camera for robotics.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Microsaccade-inspired event camera for robotics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.590129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b7a01b51-3b78-462d-9a9f-c2caf77d059d · outbound

This paper cites Denoising diffu- sion probabilistic models.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Denoising diffu- sion probabilistic models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.449266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e60afa-e397-4821-bc4b-0622339e407e · outbound

This paper cites Video diffusion models.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Video diffusion models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.569589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ea9654c7-7198-4971-a3a1-79fd94fffe9e · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Real-time intermediate flow estimation for video frame interpolation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.456800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425cbba0-6d50-407a-9d5c-2489ff424acb · outbound

This paper cites Dginstyle: Domain-generalizable semantic segmentation with image dif- fusion models and stylized semantic control.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Dginstyle: Domain-generalizable semantic segmentation with image dif- fusion models and stylized semantic control

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.546429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0404d5cd-b3a1-43f5-8621-f7477f388066 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Super slomo: High quality estimation of multiple intermediate frames for video interpolation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.531247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c942ff4b-15a5-44b1-8a66-8adb195473f0 · outbound

This paper cites Event-based video frame interpolation with cross- modal asymmetric bidirectional motion fields.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Event-based video frame interpolation with cross- modal asymmetric bidirectional motion fields

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.516442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a64296b9-f29d-4259-b763-1e753aa2616e · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Ifrnet: Intermediate feature refine network for efficient frame interpolation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.503024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 04298a24-f5ee-4465-8972-fab05b9435bf · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.479835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cd6c9b3-0b42-4dc3-a051-aeeb6c35d802 · outbound

This paper cites Decoupled Weight Decay Regularization.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Decoupled Weight Decay Regularization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.484902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14b9183-9837-40bc-93cf-8ea059a0e937 · outbound

This paper cites Video frame interpolation with transformer.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Video frame interpolation with transformer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.490986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b892d54a-4cff-4450-b212-74cabfd20660 · outbound

This paper cites Hr- inr: continuous space-time video super-resolution via event camera.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Hr- inr: continuous space-time video super-resolution via event camera

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.495005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f68a33-8ea0-49a6-9a25-02c732eec357 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Repaint: Inpainting using denoising diffusion probabilistic models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.499145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 364a0322-8640-4867-845a-ea2f31e1eff2 · outbound

This paper cites Timelens-xl: Real-time event-based video frame interpolation with large motion.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Timelens-xl: Real-time event-based video frame interpolation with large motion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.470641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 69a98422-34f5-470f-88fa-e50dc4827fb1 · outbound

This paper cites Event-based moving object detection and tracking.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Event-based moving object detection and tracking

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.458398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a006cb4-fe4e-4186-af34-33c7b0b0efa5 · outbound

This paper cites Stereo depth from events cameras: Concen- trate and focus on the future.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Stereo depth from events cameras: Concen- trate and focus on the future

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.446167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e8769a1-9c96-4ed3-9ffb-b49e168981b9 · outbound

This paper cites Asymmetric bilateral motion estimation for video frame interpolation.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Asymmetric bilateral motion estimation for video frame interpolation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.432297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f432d670-c04c-4a4c-a81f-ff22c29d38a8 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Movie Gen: A Cast of Media Foundation Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.524381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdc1fe24-c4d0-44b9-957f-a8f50c49826b · outbound

This paper cites High speed and high dynamic range video with an event camera.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation High speed and high dynamic range video with an event camera

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.417739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1f7589f5-a1a9-4eed-933f-eb7f6f948b49 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation High-resolution image synthesis with latent diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.403645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0aa097af-9380-4655-9d6d-5eea63891b7c · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven gen- eration.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven gen- eration

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.536642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfcbd9ab-368d-4c6a-b92b-253eddde3e9b · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.540655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b634e76-6980-467a-8c8f-e549f1539e74 · outbound

This paper cites Codedevents: optimal point-spread-function engineering for 3d-tracking with event cameras.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Codedevents: optimal point-spread-function engineering for 3d-tracking with event cameras

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.379135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8797843b-4358-4aad-b7fb-49d33d9c2bd4 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Score-based generative modeling through stochastic differential equations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.548293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ab65ed-afa4-4cf5-9d45-9d45304a8258 · outbound

This paper cites Reducing the sim-to-real gap for event cameras.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Reducing the sim-to-real gap for event cameras

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.358962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af40d27e-5598-445f-be52-a61496cdde30 · outbound

This paper cites Event-based frame interpolation with ad-hoc deblurring.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Event-based frame interpolation with ad-hoc deblurring

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.346275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7899569-19e4-4c09-9e2c-9669a88eb9de · outbound

This paper cites Time lens: Event-based video frame interpolation.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Time lens: Event-based video frame interpolation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.334322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c639b7b-d339-4063-baba-4c0475cb6533 · outbound

This paper cites Time lens++: Event-based frame interpolation with paramet- ric non-linear flow and multi-scale fusion.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Time lens++: Event-based frame interpolation with paramet- ric non-linear flow and multi-scale fusion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.321133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 19a87408-4f6b-47cd-b237-ab61e44c037a · outbound

This paper cites Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.568360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e3ba8eb-455e-45dc-899e-b24f52178127 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Image quality assessment: from error visibility to structural similarity

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.573178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 934d534c-54e6-4d43-aa02-a9533fad8c47 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Perception-oriented video frame interpolation via asymmetric blending

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.301827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f5e23981-36a4-41d3-bc4d-1448e4edca4a · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Dynamicrafter: Animating open- domain images with video diffusion priors

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.288308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b6b3592e-60e1-41fb-add7-7af37094e3d6 · outbound

This paper cites Learning Normal Flow Directly From Event Neighborhoods.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Learning Normal Flow Directly From Event Neighborhoods

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.587738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e221ce88-0162-45e6-8673-56c3f84540d9 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Extracting motion and appearance via inter-frame attention for efficient video frame interpolation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.591955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58946679-ef8a-495e-bcef-bdc998c36b56 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Adding conditional control to text-to-image diffusion models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.596066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dcd3923-4ef2-4201-b875-f314db0cd2eb · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation The unreasonable effectiveness of deep features as a perceptual metric

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.599930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c814c1d-debb-440b-bff1-ef69aabb39f9 · outbound

This paper cites Unifying motion deblurring and frame interpolation with events.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Unifying motion deblurring and frame interpolation with events

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.254128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ae783c45-1b07-4c79-8722-a0020675acd3 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.608193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7598481-0554-40bf-ba3c-6389f1855b19 · outbound

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

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Clearer frames, anytime: Re- solving velocity ambiguity in video frame interpolation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.243173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 77bcbddd-121e-4c35-a419-f896a1b2eee5 · outbound

This paper cites EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:26.616446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d63b223e-d623-447b-96d6-b5f6c57ac5d6 · outbound

This paper cites Unsupervised event-based learning of optical flow, depth, and egomotion.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Unsupervised event-based learning of optical flow, depth, and egomotion

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.232084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3885d6a4-8f04-4c9d-b3a5-8097a41f0825 · outbound

This paper cites Event Camera and Video Frame Interpolation 2 2.2.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Event Camera and Video Frame Interpolation 2 2.2

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.219831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 32a8bfbf-d67b-406b-9949-c5ec933eb187 · outbound

This paper cites Pipeline Overview.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Pipeline Overview

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.206994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f730ebe-ca0c-4353-b118-25507329bc7f · outbound

This paper cites Datasets and Implementation Details.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Datasets and Implementation Details

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.195003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6dd0e22e-8d61-4493-b337-b0d82e345eea · outbound

This paper cites Clear-Motion Test Sequences 13 10.1.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Clear-Motion Test Sequences 13 10.1

Reference 59

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T18:35:27.182552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 819a1c0b-a7df-44a4-818b-34042b9b8af4 · outbound

This paper cites an unresolved cited work.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:35:27.171158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c36d6a74-8be8-4d94-8800-eb3ee201e790 · outbound

This paper cites github.io/ for video results, which clearly demonstrate that our reconstructions provide superior consistency and generalization compared to other baselines.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation github.io/ for video results, which clearly demonstrate that our reconstructions provide superior consistency and generalization compared to other baselines

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.160169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8dacc45a-4147-4d06-89fd-32903e653813 · outbound

This paper cites This constraint in video generation leads to error accumulation in the generated video, as shown in the last video of the website.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation This constraint in video generation leads to error accumulation in the generated video, as shown in the last video of the website

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.147502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b34fe993-6176-4982-883c-2a5da9cdcf80 · outbound

This paper cites an unresolved cited work.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Unresolved cited work

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T18:35:27.135182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b06b942-175b-4dd2-88e8-ca89a6bf97a8 · outbound

This paper cites an unresolved cited work.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:35:27.122689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d1e066a4-a771-4ed2-bf64-73e661898562 · outbound

This paper cites an unresolved cited work.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:35:27.108266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6110af7e-1f19-4679-b2b6-a6cee77ee55f · outbound

This paper cites The pre-trained video diffusion model we used is Stable Video Diffusion [ 7] for 14-frame image-to-video genera- tion.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation The pre-trained video diffusion model we used is Stable Video Diffusion [ 7] for 14-frame image-to-video genera- tion

Reference 66

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T18:35:27.095194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 062ed6d5-2a66-4b83-b5d2-b7d1b8059e38 · outbound

This paper cites Each method generated 1024 × 576 frames with run time averaged over 16 frames.

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Each method generated 1024 × 576 frames with run time averaged over 16 frames

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:27.081175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 5e3a8806-d54e-40bc-8f72-b7489860d6e0 · inbound

Learning Normal Flow Directly From Event Neighborhoods cites this paper.

Learning Normal Flow Directly From Event Neighborhoods Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:13:23.436924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.