Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:23:48.613566Z
Paper Citation Record · LEDGER
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models
As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.12267.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
47 of 47 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b1c10aad-6afe-468c-aa38-2d1e06f4eebf · outbound
This paper cites Patchmatch: A randomized correspon- dence algorithm for structural image editing.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Patchmatch: A randomized correspon- dence algorithm for structural image editing
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9aa05ff5-8e35-483d-b8e9-602e739f0696 · outbound
This paper cites Navier-stokes, fluid dynamics, and image and video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Navier-stokes, fluid dynamics, and image and video inpainting
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation b7ccbfd5-c7c2-440a-aeb7-5718fbdd9177 · outbound
This paper cites Free-form video inpainting with 3d gated convolution and temporal patchgan.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Free-form video inpainting with 3d gated convolution and temporal patchgan
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 60300801-bc4d-43e8-8cc0-d28fe29db9d2 · outbound
This paper cites Learnable gated temporal shift module for deep video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Learnable gated temporal shift module for deep video inpainting
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 3aab9678-fc02-4b95-aa10-8d8afa80fb60 · outbound
This paper cites Diffusion pos- terior sampling for general noisy inverse problems.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Diffusion pos- terior sampling for general noisy inverse problems
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e0d158cd-d973-4d3d-8e6f-0dae8b3575e5 · outbound
This paper cites Diffusion models beat gans on image synthesis.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Diffusion models beat gans on image synthesis
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 063b4969-ebac-4c3b-b074-f70058f11ea8 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models An image is worth 16x16 words: Transformers for image recognition at scale
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation e4d22312-37a3-46d5-a273-3723e73b84c7 · outbound
This paper cites Flow-edge guided video completion.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Flow-edge guided video completion
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 5dea3623-f156-4e42-a310-25560876584d · outbound
This paper cites How not to be seen—object removal from videos of crowded scenes.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models How not to be seen—object removal from videos of crowded scenes
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 02f5bcb7-37e1-4c80-b9f6-879ea23bcd0b · outbound
This paper cites Flow-Guided Diffusion for Video Inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Flow-Guided Diffusion for Video Inpainting
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
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Observation 4864b716-cce3-40ed-a2a2-59e259803aba · outbound
This paper cites Denoising dif- fusion probabilistic models.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Denoising dif- fusion probabilistic models
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 2026-08-14T06:32:32.682623+00:00.
Observation fc359b01-5bba-4665-b5de-6971b51d7749 · outbound
This paper cites Proposal-based video com- pletion.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Proposal-based video com- pletion
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 45f02705-dae0-4d7f-ad59-f0d7f0751255 · outbound
This paper cites Temporally coherent completion of dynamic video.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Temporally coherent completion of dynamic video
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e076da8f-acec-4fb6-8234-e4c63b95458f · outbound
This paper cites Error compensation framework for flow-guided video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Error compensation framework for flow-guided video inpainting
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 2026-08-14T06:32:32.682623+00:00.
Observation b9fcf480-13ca-4bea-8a6e-4b3909f276be · outbound
This paper cites Deep video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Deep video inpainting
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:49.045672Z
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 8fa073c3-92f9-4d14-a63e-480c6d4a1024 · outbound
This paper cites Learning blind video temporal consistency.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Learning blind video temporal consistency
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:49.034674Z
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 f5d3dced-b357-4a44-9c9f-9e5ad5dbd91d · outbound
This paper cites Copy-and-paste networks for deep video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Copy-and-paste networks for deep video inpainting
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:49.022789Z
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 96b106a0-3e25-4b7c-8fee-7daae53e7c7b · outbound
This paper cites Short-term and long-term context aggrega- tion network for video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Short-term and long-term context aggrega- tion network for video inpainting
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:49.010419Z
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 a918c130-e58a-47df-96d0-54b3661d835c · outbound
This paper cites Towards an end-to-end framework for flow-guided video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Towards an end-to-end framework for flow-guided video inpainting
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 2026-08-14T06:32:32.682623+00:00.
Observation 13f93ca0-b5c0-4f9f-9ea1-3ab746e0c3bb · outbound
This paper cites Fuseformer: Fusing fine-grained information in transformers for video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Fuseformer: Fusing fine-grained information in transformers for video inpainting
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 2026-08-14T06:32:32.682623+00:00.
Observation f945ce65-7eb7-42c0-b64b-61b4acd7ee7d · outbound
This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Repaint: Inpainting using denoising diffusion probabilistic models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.973704Z
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 390c5054-0df9-446e-9ab8-abb73302e8a2 · outbound
This paper cites Full-frame video stabilization with motion inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Full-frame video stabilization with motion inpainting
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 2026-08-14T06:32:32.682623+00:00.
Observation 937d43d6-e0ef-4542-90f6-60c0d0d12785 · outbound
This paper cites Video inpainting of complex scenes.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Video inpainting of complex scenes
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 546a5f1b-ada7-48c6-8b32-4ff085c4628f · outbound
This paper cites Video inpainting of occluding and occluded ob- jects.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Video inpainting of occluding and occluded ob- jects
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.936610Z
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 2f922e7f-1167-46b2-b03b-c30fd1b0f49f · outbound
This paper cites Video inpainting under constrained camera mo- tion.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Video inpainting under constrained camera mo- tion
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.924564Z
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 bf7738d2-ed50-4763-9866-8e272e3e87d2 · outbound
This paper cites A benchmark dataset and evaluation methodology for video object segmentation.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models A benchmark dataset and evaluation methodology for video object segmentation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.912362Z
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 be1e5a97-12db-4b02-9ae8-a9a0c554f93c · outbound
This paper cites High-resolution image syn- thesis with latent diffusion models.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models High-resolution image syn- thesis with latent diffusion models
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c231cb58-c4e1-4d98-85a3-8c86209d77a7 · outbound
This paper cites Deep unsupervised learning using 9 nonequilibrium thermodynamics.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Deep unsupervised learning using 9 nonequilibrium thermodynamics
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1712329c-10dd-456c-9341-a380a20623aa · outbound
This paper cites Denois- ing diffusion implicit models.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Denois- ing diffusion implicit models
Reference 29
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Source-reported events for the cited work
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Observation d87e30c7-564d-408e-a531-718d8a0283d4 · outbound
This paper cites Raft: Recurrent all-pairs field transforms for optical flow.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Raft: Recurrent all-pairs field transforms for optical flow
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 92c42936-ba5e-415e-b09f-635fe87e29e0 · outbound
This paper cites Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, and Tommi S.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, and Tommi S
Reference 31
- Resolution
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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 d988f2ca-e9d8-45e1-a14a-b78540ee7799 · outbound
This paper cites Attention is all you need.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Attention is all you need
Reference 32
- Resolution
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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 feec1479-66a2-441e-a825-118aeefd90b8 · outbound
This paper cites Video inpainting by jointly learning temporal structure and spatial details.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Video inpainting by jointly learning temporal structure and spatial details
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 2026-08-14T06:32:32.682623+00:00.
Observation ac797e2d-2c3b-43e4-857c-720c5db800d8 · outbound
This paper cites Video-to- video synthesis.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Video-to- video synthesis
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 724ebc6e-cd1a-47d3-9eb4-236967061e14 · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Image quality assessment: from error visibility to structural similarity
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation 4f9afa72-2edf-4c4c-b71e-5c1a830a58ad · outbound
This paper cites Space- time completion of video.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Space- time completion of video
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2ec35e16-2f5c-49ea-8ce9-846a1fe5b22d · outbound
This paper cites Towards language-driven video inpainting via multimodal large language models.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Towards language-driven video inpainting via multimodal large language models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.785927Z
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 047808d8-af22-4c13-808d-3b0445f826ca · outbound
This paper cites Youtube-vos: Sequence-to-sequence video object segmentation.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Youtube-vos: Sequence-to-sequence video object segmentation
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.775357Z
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 53585af8-4054-4852-af60-4d5eb0853d8b · outbound
This paper cites Deep flow-guided video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Deep flow-guided video inpainting
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.764179Z
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 5f8ee403-ed27-4dba-b206-362ff3fafc0d · outbound
This paper cites Frequency-aware spatiotemporal transformers for video in- painting detection.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Frequency-aware spatiotemporal transformers for video in- painting detection
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.752519Z
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 b1986eeb-0733-4281-bd9b-8ca67ec5560e · outbound
This paper cites Learning joint spatial-temporal transformations for video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Learning joint spatial-temporal transformations for video inpainting
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.738676Z
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 3fa1365d-add7-4ee7-9d11-4a8fd5781dca · outbound
This paper cites Towards coherent image in- painting using denoising diffusion implicit models, 2023.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Towards coherent image in- painting using denoising diffusion implicit models, 2023
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.725427Z
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 05289cdf-ea0c-4b08-802f-7173712687e4 · outbound
This paper cites An internal learning approach to video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models An internal learning approach to video inpainting
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.712695Z
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 e7479aad-9734-446e-bdf4-442beb477ee8 · outbound
This paper cites Flow-guided transformer for video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Flow-guided transformer for video inpainting
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.699193Z
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 37663b00-21c8-4bb9-a3d2-407fb9277635 · outbound
This paper cites Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation ba85eab6-c9f1-4404-a94a-36822eb6baff · outbound
This paper cites AVID: Any-Length Video Inpainting with Diffusion Model.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models AVID: Any-Length Video Inpainting with Diffusion Model
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
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Observation ce78833b-3b95-4d9d-8e85-28417d64dd13 · outbound
This paper cites ProPainter: Improving propagation and transformer for video inpainting.
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models ProPainter: Improving propagation and transformer for video inpainting
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:23:48.685705Z
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.
Pith citing papers
No inbound Pith citation observations are available.