conda create -n sgs-slam python=3.9 conda activate sgs-slam conda install -c"nvidia/label/cuda-11.8.0"cuda-toolkit conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 cudatoolkit=11.8 pytorch-cuda=11.8 -c pytorch -c nvidia pip install -r requirements.txt ...
Differential Gaussian Rasterization for GS-SLAM This is a modified Differential 3DGS(3D Gaussian Splatting) Rasterization version based on orgin 3DGS Rasterization implementation. We add some addition support for the SLAM(Simultaneous Localization And Mapping) task: Depth forward rendering Depth rendering...
项目地址：https://github.com/Gsllchb/Handright3、30-Days-Of-Python免费、零基础的 Python 教程。...
https://github.com/YoujieXia/Awesome-SLAM 32、Recent Stars 2020 SLAM,姿势/对象跟踪,深度/视差/流估计,3D图形等相关论文和代码。 https://github.com/Vincentqyw/Recent-Stars-2020 33、 Orb_slam_2_ros 这是用于单目,立体声和RGB-D摄像机的ORB-SLAM2实时SLAM库的ROS实现,可计算摄像机的轨迹和稀疏的3D重...
本项目是对[https://github.com/gaoxiang12/slambook2]的rust重构. 很多bug😂和todo🧾, 有些实现可能比较简略😄. 已经将很多算法用rust重写了. 使用说明 工程目录 Cargo.toml : 编译配置文件 examples文件夹 : slambook2的1~13章用rust重构的代码 ...
awesome-NeRF-and-3DGS-SLAM This repo contains a curative list of NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, inspired by Awesome-Implicit-NeRF-Robotics Please feel free to send me pull requests or email to add papers! If you find this repository useful, please...
Here is 1 public repository matching this topic... Language:Shell jagennath-hari/RGBD-3DGS-SLAM Star68 Code Issues Pull requests RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural netwo...
MM3DGS-SLAM Lisong C. Sun*·Neel P. Bhatt*·Jonathan C. Liu·Zhiwen Fan Zhangyang Wang·Todd E. Humphreys·Ufuk Topcu * Equal contribution and co-first authors Project Page|Video|Paper|Dataset Framework As shown above, we present the framework for Multi-modal 3D Gaussian Splatting for SLAM...
conda create -n gsicpslam python==3.9 conda activate gsicpslam conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia pip install -r requirements.txt Also, PCL is needed for fast-gicp submodule. ...
Additionally, we save the final RGB and semantic maps in .ply format for easier visualization. You can view the scenes using any 3DGS viewer, such as SuperSplat. For interactive rendering, as illustrated above, we adopt the Open3D viewer from SplaTAM....