VideoCanvas - Historique des versions

Pitpitt le 28 octobre 2025 à 01:01

2025-10-28T01:01:16Z

← Version précédente		Version du 27 octobre 2025 à 21:01
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	== Anglais ==		== Anglais ==
	'''VideoCanvas'''		'''VideoCanvas'''

	~~==Sources==~~
	~~[XXXX Sources : XXXXX ]~~

	Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning		Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning
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	A unified framework for arbitrary spatio-temporal video completion that allows users to place content patches at any location and timestamp in a video, with the model filling in the remaining regions. This approach unifies many existing video generation tasks like image-to-video, video inpainting, and extension under a single paradigm. The method addresses fundamental challenges in modern video diffusion models, particularly the temporal ambiguity introduced by causal VAEs that compress multiple frames into single latent representations.		A unified framework for arbitrary spatio-temporal video completion that allows users to place content patches at any location and timestamp in a video, with the model filling in the remaining regions. This approach unifies many existing video generation tasks like image-to-video, video inpainting, and extension under a single paradigm. The method addresses fundamental challenges in modern video diffusion models, particularly the temporal ambiguity introduced by causal VAEs that compress multiple frames into single latent representations.
	VideoCanvas addresses temporal ambiguity in latent video diffusion models to enable flexible spatio-temporal video completion using a hybrid conditioning strategy.		VideoCanvas addresses temporal ambiguity in latent video diffusion models to enable flexible spatio-temporal video completion using a hybrid conditioning strategy.


			==Sources==
			[https://huggingface.co/papers/2510.08555 Sources : huggingface]



	[[Catégorie:vocabulary]]		[[Catégorie:vocabulary]]

Pitpitt : Page créée avec « == EN CONSTRUCTION == == Définition == xxxxx == Français == '''VideoCanvas''' == Anglais == '''VideoCanvas''' ==Sources== [XXXX Sources : XXXXX ] Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning A unified framework for arbitrary spatio-temporal video completion that allows users to place content patches at any location and timestamp in a video, with the model filling in the remaining regions. This approach... »

2025-10-28T01:00:26Z

Page créée avec « == EN CONSTRUCTION == == Définition == xxxxx == Français == '''VideoCanvas''' == Anglais == '''VideoCanvas''' ==Sources== [XXXX Sources : XXXXX ] Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning A unified framework for arbitrary spatio-temporal video completion that allows users to place content patches at any location and timestamp in a video, with the model filling in the remaining regions. This approach... »

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== EN CONSTRUCTION ==

== Définition ==
xxxxx

== Français ==
'''VideoCanvas'''

== Anglais ==
'''VideoCanvas'''

==Sources==
[XXXX Sources : XXXXX ]

Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning

A unified framework for arbitrary spatio-temporal video completion that allows users to place content patches at any location and timestamp in a video, with the model filling in the remaining regions. This approach unifies many existing video generation tasks like image-to-video, video inpainting, and extension under a single paradigm. The method addresses fundamental challenges in modern video diffusion models, particularly the temporal ambiguity introduced by causal VAEs that compress multiple frames into single latent representations.
VideoCanvas addresses temporal ambiguity in latent video diffusion models to enable flexible spatio-temporal video completion using a hybrid conditioning strategy.

[[Catégorie:vocabulary]]