Color Transfer

Color transfer aims to modify the color scheme of an image while preserving its semantic content, often guided by a reference image or textual description. Recent research emphasizes automated palette generation and regional control, employing deep learning architectures like GANs and diffusion models, alongside techniques like 3D lookup tables and dual pipelines to separate color and texture manipulation for improved realism and efficiency. These advancements enhance image editing capabilities across diverse applications, from artistic style transfer and photo restoration to medical image visualization and virtual try-on technologies.