Color Palette

Color palette research focuses on understanding and manipulating color schemes in images and 3D scenes, aiming to improve image editing, generation, and style transfer. Current research employs various techniques, including diffusion models, generative adversarial networks (GANs), and clustering algorithms, often combined with deep learning-based segmentation for precise control over color manipulation. This work has significant implications for computer graphics, image processing, and artistic applications, enabling more realistic and controllable image editing and the creation of novel visual effects. The development of universal color harmony models also contributes to a deeper understanding of human aesthetic perception.