Double Decomposition for Nighttime Driving Scene Simulation

1. Clone our Repo:

   git clone https://github.com/Jingyang06/DD-NightSim.git --recursive

2. Installation:

  conda create -n nighttime-stgs python=3.8
  conda activate nighttime-stgs

  pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118

  # Install requirements
  pip install -r requirments.txt

  # Install submodules
  pip install ./submodules/diff-gaussian-rasterization
  pip install ./submodules/simple-knn
  pip install ./submodules/simple-waymo-open-dataset-reader
  python script/test_gaussian_rasterization.py

3. Prepare for dataset: We use nighttime waymo dataset following EmerNeRF
4. Training:

   bash script/waymo/train_waymo_exp.sh

5. Rendering:

   bash script/waymo/render_waymo_exp.sh