# clone
git clone git@github.com:graphdeco-inria/gaussian-splatting.git --recursive
# env
conda env create -f environment.yml
#
pip install -e ./submodules/diff-gaussian-rasterization
pip install -e ./submodules/simple-knn
# download models and db
wget https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/datasets/pretrained/models.zip
uznip models.zip
wget https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/datasets/input/tandt_db.zip
unzip tandt_db.zip "db/*" -d .
# render
python render.py -m models/drjohnson/ -s db/drjohnson/ --data_device cpu --resolution 100
python metrics.py -m models/drjohnson/
mmt-at/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering" for C Kernel
PythonNOASSERTION