Modeling and Reconstructing Garments with Sewing Patterns

The problems of creating new garments (modeling) or reproducing the existing ones (reconstruction) appear in various fields: from fashion production to digital human modeling for the metaverse. The talk introduces approaches to a novel garment creation paradigm: programming-based parametric sewing pattern construction and its application to generating rich synthetic datasets of garments with sewing patterns. We will then discuss how the availability of ground truth sewing patterns allows posing the learning-based garment reconstruction problem as a sewing pattern recovery. Such reformulation enables obtaining high-quality 3D garment models from sparse point clouds with effective design generalization while simultaneously providing designer-friendly garment representation for further use in traditional garment processing pipelines.
Speaker Biography
Maria Korosteleva (ETH Zurich)
Postdoc
Maria Korosteleva is a postdoctoral researcher at the Interactive Geometry Lab in ETH Zurich with Professor Olga Sorkine-Hornung. Previously, she received her Ph.D. Degree from LAVA Lab, KAIST, under the supervision of Professor Sung-Hee Lee. Her research interests revolve around the application of AI to geometry processing, shape generation, and reconstruction, specifically in the area of digital garments.