[CVPR 2025] Unlocking Generalization Power in LiDAR Point Cloud Registration

MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

(NeurIPS 2024) LiT: Unifying LiDAR "Languages" with LiDAR Translator

✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Implementation of ECCV'24: GaussReg: Fast 3D Registration with Gaussian Splatting

Code for "MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training", Arxiv 2025.

CAST: A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration (NeurIPS 2024)

西北工业大学硕博学位论文模版 | Yet Another Thesis Template for Northwestern Polytechnical University

Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"

[CVPR'25] LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"

OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark

Python Data Science Handbook: full text in Jupyter Notebooks

[ECCV 2024] UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

Reading list for research topics in multimodal machine learning

[ECCV 2024] This repository represents the official implementation of PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

Gaussian mixture models in PyTorch.

PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes

PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"