PainterNet: Adaptive Image Inpainting with Actual-Token Attention and
Diverse Mask Control
PainterNet: Adaptive Image Inpainting with Actual-Token Attention and
Diverse Mask Control
Recently, diffusion models have exhibited superior performance in the area of image inpainting. Inpainting methods based on diffusion models can usually generate realistic, high-quality image content for masked areas. However, due to the limitations of diffusion models, existing methods typically encounter problems in terms of semantic consistency between images and …