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LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260723T145000
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UID:siggraph_SIGGRAPH 2026_sess117_papers_980@linklings.com
SUMMARY:FIT: A Large-Scale Dataset for Fit-Aware Virtual Try-On
DESCRIPTION:Yuanhao Wang and Johanna Karras (University of Washington, Goo
 gle Research); Yingwei Li (Google Research); and Ira Kemelmacher-Shlizerma
 n (University of Washington, Google Research)\n\nWe introduce FIT (Fit-Inc
 lusive Try-on), a virtual try-on dataset of over 1M samples covering diver
 se garment fits, each annotated with precise body/garment measurements. Ou
 r novel data generation pipeline leverages synthetic garment simulation an
 d photorealistic retexturing. Then, we leverage FIT to train a state-of-th
 e-art fit-aware virtual try-on model.\n\nInterest Area: Research & Educati
 on\n\nKeyword: Animation, Artificial Intelligence/Machine Learning, Geomet
 ry, Modeling, Simulation\n\nRegistration Category: Full Conference Support
 er, Full Conference\n\nSession Chair: Biao Zhang (Xi'an Jiaotong Universit
 y)\n\n
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