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main SIBR_viewers arguments assets gaussian_renderer lpipsPyTorch scene submodules utils .gitignore .gitmodules LICENSE.md README.md convert.py crop_cloud.py dump_cameras.py environment.yml export_model.py extract_cloud.py full_eval.py metrics.py ...
#HTTPSgit clone https://github.com/graphdeco-inria/gaussian-splatting --recursive Overview The codebase has 4 main components: A PyTorch-based optimizer to produce a 3D Gaussian model from SfM inputs A network viewer that allows to connect to and visualize the optimization process ...
This repository contains the source for an interactive web viewer of NeRFs crated with the code available fromINRIA. The app with instructions is hosted atjatentaki.github.io. Building This project has been created usingwebpack-cli. Before the first build, go to the code directory and execute...
Code Pull requests2 Actions Projects Security Insights Additional navigation options Files main SIBR_viewers arguments assets gaussian_renderer lpipsPyTorch scene submodules utils .gitignore .gitmodules LICENSE.md README.md convert.py environment.yml ...
# download git clone https://github.com/hbb1/2d-gaussian-splatting.git --recursive # if you have an environment used for 3dgs, use it # if not, create a new environment conda env create --file environment.yml conda activate surfel_splatting Training To train a scene, simply use python...
https://github.com/graphdeco-inria/gaussian-splatting Page https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/ Paper https://arxiv.org/abs/2308.04079 Main Repo Viewer https://github.com/antimatter15/splat thanks to @antimatter15 Output 2023-09-12.01-02-30.mp4 RadianceField_mini...
#downloadgit clone https://github.com/hbb1/2d-gaussian-splatting.git --recursive#if you have an environment used for 3dgs, use it#if not, create a new environmentconda env create --file environment.yml conda activate surfel_splatting ...
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$ cd ~/catkin_ws/src $ git clone https://github.com/SungJaeShin/Gaussian_Splatting_Realtime_Render.git $ cd ../ $ catkin build camera_models $ source ~/catkin_ws/devel/setup.bash $ catkin build vins $ source ~/catkin_ws/devel/setup.bash Run You must have a pre-trained model an...