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DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes
Research & Education
Full Conference Supporter
Exhibitor Additional Full Conference
Exhibitor Full Conference
This session WILL NOT be recorded.
LocationEast Building, Room 1-3
DescriptionDeep Estimators of Features (DEFs) is a learning-based framework for predicting sharp geometric features in sampled 3D shapes. DEF regresses a scalar distance-to-feature field on local point patches and integrates field estimates into a complete parametric reconstruction. Our framework achieves state-of-the-art performance and scalability and generalizes to real-world scans.