Input Garment

Input garment research focuses on digitally manipulating and synthesizing clothing images, aiming to create realistic virtual try-on experiences and aid fashion design. Current efforts leverage diffusion models, often incorporating techniques like garment extractors and attention mechanisms to maintain garment fidelity while allowing for text-based control and pose variations. This work is significant for advancing computer vision and generative modeling, with applications in e-commerce (virtual try-ons), fashion design (sketch-to-image translation and design exploration), and the creation of realistic digital avatars.