Fashion Image Synthesis

Fashion image synthesis focuses on generating realistic clothing images and videos from various inputs like sketches, text descriptions, or existing images, aiming to improve design workflows and enhance the online shopping experience. Current research heavily utilizes diffusion models, often incorporating additional guidance from style information, poses, or pseudo-3D convolutional layers to achieve high-fidelity results and address challenges like flickering in video synthesis. This field is significant for its potential to revolutionize fashion design and e-commerce by providing designers with powerful visualization tools and offering consumers more engaging and personalized shopping experiences.