2026
FoV-Net: Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting
CVPR 2026
Learning directly from boundary representations (B-reps) has significantly advanced 3D CAD analysis. However, state-of-the-art B-rep learning methods rely on absolute coordinates and normals to encode global context, making them highly sensitive to rotations. Our experiments reveal that models achie