Face Restoration

Face restoration aims to recover high-quality facial images from degraded inputs, addressing issues like low resolution, blurring, and retouching. Current research heavily utilizes diffusion models, often incorporating multi-modal guidance (e.g., text prompts, reference images) and techniques like triplet loss to improve identity preservation and detail recovery. This field is significant for applications ranging from facial recognition enhancement to combating image manipulation in digital media, driving advancements in both image processing and security technologies.