GVC-Seg: Training-Free 3D Instance Segmentation via Geometric Visual Correspondence 事件

GVC-Seg: Training-Free 3D Instance Segmentation via Geometric Visual Correspondence arXiv:2606.08014v1 Announce Type: new Abstract: Accurate 3D instance segmentation in point cloud data is critical for machine vision applications. Recent advancements leverage multiple pre-trained foundation models to generate 3D proposals, followed by the application of proposal aggregation methods, which significantly enhance performance. However, they often produce sub-optimal results due to inherent variatio