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Conference Paper: VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models

TitleVipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models
Authors
Xie, ChaohaoHan, KaiWong, Kenneth Kwan Yee
Issue Date29-Oct-2024
Persistent Identifierhttp://hdl.handle.net/10722/354553

 

DC FieldValueLanguage
dc.contributor.authorXie, Chaohao-
dc.contributor.authorHan, Kai-
dc.contributor.authorWong, Kenneth Kwan Yee-
dc.date.accessioned2025-02-16T00:35:08Z-
dc.date.available2025-02-16T00:35:08Z-
dc.date.issued2024-10-29-
dc.identifier.urihttp://hdl.handle.net/10722/354553-
dc.languageeng-
dc.relation.ispartofIEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (28/02/2025-04/03/2025, Tucson, Arizona)-
dc.titleVipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models-
dc.typeConference_Paper-

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