RAD: Region-Aware Diffusion Models for Image Inpainting

Understand

Diffusion models have achieved remarkable success in image generation, with applications broadening across various domains.

• Inpainting is one such application that can benefit significantly from diffusion models.
• Existing methods either hijack the reverse process of a pretrained diffusion model or cast the problem into a larger framework, \ie, conditioned generation.
• However, these approaches often require nested loops in the generation process or additional components for conditioning.