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Found 3 papers, 1 papers with code
Diffusion-based image inpainting with internal learning
In this paper, we propose lightweight diffusion models for image inpainting that can be trained on a single image, or a few images.
Infusion: Internal Diffusion for Video Inpainting
We show that in the case of video inpainting, thanks to the highly auto-similar nature of videos, the training of a diffusion model can be restricted to the video to inpaint and still produce very satisfying results.
Patch-Based Stochastic Attention for Image Editing
We refer to our proposed layer as a "Patch-based Stochastic Attention Layer" (PSAL).
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