AI RESEARCH
OmniDiT: Extending Diffusion Transformer to Omni-VTON Framework
arXiv CS.AI
•
ArXi:2603.19643v1 Announce Type: cross Despite the rapid advancement of Virtual Try-On (VTON) and Try-Off (VTOFF) technologies, existing VTON methods face challenges with fine-grained detail preservation, generalization to complex scenes, complicated pipeline, and efficient inference. To tackle these problems, we propose OmniDiT, an omni Virtual Try-On framework based on the Diffusion Transformer, which combines try-on and try-off tasks into one unified model.