RiverSnap - estimation of river hydraulic parameters using machine learning/AI models

(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing

3D LiDAR Point Cloud Organized as Depth Map, Height Map and Surface Normal Map

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

OpenMMLab's next-generation platform for general 3D object detection.

Deep Hough Voting for 3D Object Detection in Point Clouds

[GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds

Kernel Point Convolutions

SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)

🔥 💪 FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding

[CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation

PyTorch implementation of RandLA-Net

Client software for the AIST 3DDB system to be published as open source software.

C++ library to read and write DXF/DWG files

Industry-standard navigation-mesh toolset for games

Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.