Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction
This approach reformulates online reconstruction as multi-reference relative pose querying, which achieves state-of-the-art performance across Virtual KITTI, Sintel, TUM-Dynamic, ScanNet, and 7-Scenes and reaches convergence in 8 hours on a single GPU.