Image Retouching
Image retouching aims to enhance the visual quality of photographs, often focusing on improving skin tone, removing blemishes, and adjusting lighting and color. Recent research emphasizes developing more efficient and user-friendly methods, employing techniques like diffusion models, lookup tables, and generative adversarial networks (GANs) to achieve realistic and diverse retouching styles. This field is significant for its applications in photography, digital art, and even adversarial attacks on deep learning models, driving innovation in both image processing and computer vision.
Papers
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