Yongzhe Lyu

IS-Diff improves diffusion inpainting with better initial seeds

Researchers have introduced IS-Diff, a novel training-free method to enhance diffusion-based image inpainting. This approach addresses the issue of random initialization seeds in standard diffusion models, which can lea…