3 papers
cs.GR2026
STEP-Parts: Geometric Partitioning of Boundary Representations for Large-Scale CAD Processing
Shen Fan, MikoÅaj Kida, Przemyslaw Musialski
Many CAD learning pipelines discretize Boundary Representations (B-Reps) into triangle meshes, discarding analytic surface structure and topological adjacency and thereby weakening…
cs.GR2025
Joint Neural SDF Reconstruction and Semantic Segmentation for CAD Models
Shen Fan, Przemyslaw Musialski
We propose a simple, data-efficient pipeline that augments an implicit reconstruction network based on neural SDF-based CAD parts with a part-segmentation head trained under PartFi…
cs.CV2024
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
Shen Fan, Przemyslaw Musialski
Implicit neural representations have emerged as a powerful tool in learning 3D geometry, offering unparalleled advantages over conventional representations like mesh-based methods.…