Symmetry Matters: Auditing and Symmetrizing 3D Generative Models

ArXi:2512.18953v2 Announce Type: replace Symmetry is a strong prior present in many object categories, yet standard benchmarks for 3D generative models rarely report whether this prior is preserved. We study symmetry preservation in unconditional point cloud generation. We first audit the symmetry of generated shapes by several 3D generative models and compute a normalized symmetry score based on the Chamfer Distance (CD