Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:35:26.671034Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:13:23.110984Z
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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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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
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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 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+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
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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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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
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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
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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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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
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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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.