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Oxygen-TryOn is a unified foundation model for any-item virtual try-on, achieving state-of-the-art consistency and realism across single and multi-item try-on tasks through a dedicated data engine and three-stage training pipeline.
This paper introduces VIP-SAM for instance-level garment segmentation and CtrlVTON, a controllable virtual try-on framework that treats try-on as an image editing problem, allowing precise control over garment layout, style, and placement. Both methods achieve state-of-the-art results on their respective tasks.
Tstars-Tryon 1.0 is a commercial-scale virtual try-on system delivering photorealistic, real-time garment visualization across diverse fashion categories, now deployed on Taobao serving millions of users.