Nicolas Cherel
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View article: Infusion: Internal Diffusion for Inpainting of Dynamic Textures and Complex Motion
Infusion: Internal Diffusion for Inpainting of Dynamic Textures and Complex Motion Open
Video inpainting is the task of filling a region in a video in a visually convincing manner It is very challenging due to the high dimensionality of the data and the temporal consistency required for obtaining convincing results. Recently,…
View article: Diffusion-based image inpainting with internal learning
Diffusion-based image inpainting with internal learning Open
Diffusion models are now the undisputed state-of-the-art for image generation and image restoration. However, they require large amounts of computational power for training and inference. In this paper, we propose lightweight diffusion mod…
View article: Internal methods for the generation and inpainting of images and videos
Internal methods for the generation and inpainting of images and videos Open
Image editing and generation are complex problems in image processing. Recently, we have seen a great leap in development by using learning-based approaches that take advantage of large image databases.In this thesis, we study internal met…
View article: Infusion: internal diffusion for inpainting of dynamic textures and complex motion
Infusion: internal diffusion for inpainting of dynamic textures and complex motion Open
Video inpainting is the task of filling a region in a video in a visually convincing manner. It is very challenging due to the high dimensionality of the data and the temporal consistency required for obtaining convincing results. Recently…
View article: Patch-based stochastic attention for image editing
Patch-based stochastic attention for image editing Open
View article: Modèle de diffusion frugal pour l'inpainting d'images
Modèle de diffusion frugal pour l'inpainting d'images Open
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