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This paper proposes a Unified Sequential Composition Model (USCM) and Latent Expansion Monte Carlo Tree Search (LE-MCTS) for fashion outfit generation, achieving state-of-the-art performance on multiple datasets.
FLORA AI has introduced Fashion Studio, a curated set of tools designed to help fashion creatives streamline their workflow from idea to product to campaign in one place.
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.
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.