Presentation
Learning Sewing Patterns via Latent Flow Matching of Implicit Fields
SessionGarments
DescriptionWe introduce an implicit representation for sewing patterns using distance fields. Combined with latent flow matching, the model learns distributions over panel geometry and stitching, enabling generation, image-based estimation, and optimization. The framework supports flexible topology and improves accuracy over prior methods.
Event Type
Technical Paper
TimeThursday, 23 July 20262:30pm - 2:40pm 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
Artificial Intelligence/Machine Learning
Geometry
Modeling
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