PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

[NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".

[CVPR2022] This is the official code of "RBGNet: Ray-based Grouping for 3D Object Detection".

Official implementation for the ECCV 2022 work MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud

A unified, feed-forward model integrating the MapAnything 3D reconstruction backbone with Mask2Former for multi-view consistent panoptic segmentation. This approach provides feature-rich and metric accurate semantic maps for indoor robot navigation while eliminating the need for posed inputs and costly test-time optimization.