Show HN: DRS-VPT. Localize a photo in a 3D point cloud without an initial pose

A robotics sensing developer released DRS-VPT, a model that estimates a camera's 6-DoF pose in a 3D map from a single photo and a 3D point cloud without an initial pose guess or known camera intrinsics. The developer says the same model generalizes across driving LiDAR scans (KITTI, nuScenes), iPhone photos in indoor scans, and SFM maps, and published the code, model and weights alongside a Hugging Face demo. The release matters for robotics and computer-vision work that needs camera localization against existing 3D maps without a starting pose.