Retouching Method

Image retouching research focuses on automatically enhancing image quality, addressing diverse aesthetic preferences, and mitigating issues arising from manipulated images. Current methods leverage diffusion models, generative adversarial networks (GANs), and normalizing flows to achieve realistic and stylistically varied results, often incorporating user-controllable parameters for fine-grained adjustments. This field is significant for improving image editing tools, addressing concerns about authenticity in digital media, and advancing computer vision techniques in areas like object detection and inpainting.