[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
pip install lgmPowerful web graphics runtime built on WebGL, WebGPU, WebXR and glTF
A collaboration friendly studio for NeRFs
3D Gaussian Splat Editor
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
CUDA accelerated rasterization of gaussian splatting
A PyTorch Library for Accelerating 3D Deep Learning Research
3D Reconstruction for all
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.