Presentation

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FIT: A Large-Scale Dataset for Fit-Aware Virtual Try-On
SessionGarments
DescriptionWe introduce FIT (Fit-Inclusive Try-on), a virtual try-on dataset of over 1M samples covering diverse garment fits, each annotated with precise body/garment measurements. Our novel data generation pipeline leverages synthetic garment simulation and photorealistic retexturing. Then, we leverage FIT to train a state-of-the-art fit-aware virtual try-on model.
Authors
Yuanhao Wang
University of Washington
Google Research
Johanna Karras
University of Washington
Google Research
Yingwei Li
Google Research
Ira Kemelmacher-Shlizerman
University of Washington
Google Research
Event Type
Technical Paper
TimeThursday, 23 July 20262:50pm - 3:00pm PDT
LocationRoom 403 B
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Thursday, 23 July 20262:00pm - 3:30pm PDTRoom 403 B
Keywords
Artificial Intelligence/Machine Learning
Registration Categories
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