5 citations · 5 across the 3 of their papers we have counts for
3 papers
Diffusion-based image inpainting with internal learning
Nicolas Cherel, Andrés Almansa, Yann Gousseau +1
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 inf…
Infusion: internal diffusion for inpainting of dynamic textures and complex motion
Nicolas Cherel, Andrés Almansa, Yann Gousseau +1
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 cons…
Patch-Based Stochastic Attention for Image Editing
Nicolas Cherel, Andrés Almansa, Yann Gousseau +1
Attention mechanisms have become of crucial importance in deep learning in recent years. These non-local operations, which are similar to traditional patch-based methods in image p…