Garment Synthesis

Garment synthesis focuses on generating realistic clothing images and 3D models from various inputs like text descriptions, sketches, or existing garments. Current research heavily utilizes diffusion models, often enhanced with techniques like retrieval augmentation, ControlNet, and multi-level corrections, to achieve high-fidelity results and fine-grained control over garment features. This field is significant for its potential to revolutionize fashion design workflows, enabling faster prototyping, personalized virtual try-ons, and more efficient content creation for digital avatars and virtual worlds. The development of large, high-quality datasets is also a key area of focus to improve model training and performance.