point-cloud

A resource repository for 3D machine learning

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Pytorch framework for doing deep learning on point clouds.

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

Deep Hough Voting for 3D Object Detection in Point Clouds

Frustum PointNets for 3D Object Detection from RGB-D Data

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

[ECCV 2024 Best Paper Candidate & TPAMI 2025] PointLLM: Empowering Large Language Models to Understand Point Clouds

[TMLR 2025🔥] A survey for the autoregressive models in vision.

[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

[CVPR 2022 Oral & TPAMI 2023] Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion

[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation

[ICML 2025] 🧬 ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation

Omega-Forge: unofficial code to finetune or train VGGT-Omega (VGGT-Ω) on your own dataset, for use while official training code is not yet available. Additionally includes a standalone zero-GPU 3D reconstruction visualizer.