git clone https://github.com/gusongen/DOME.git
cd DOME

conda env create --file environment.yml

.
└── data/
    ├── nuscenes            # downloaded from www.nuscenes.org/
    │   ├── lidarseg
    │   ├── maps
    │   ├── samples
    │   ├── sweeps
    │   ├── v1.0-trainval
    │   └── gts             # download from Occ3d
    ├── nuscenes_infos_train_temporal_v3_scene.pkl
    └── nuscenes_infos_val_temporal_v3_scene.pkl

cd resample
python launch.py \
    --dst ../data/resampled_occ \
    --imageset ../data/nuscenes_infos_train_temporal_v3_scene.pkl \
    --data_path ../data/nuscenes

@article{gu2024dome,
  title={Dome: Taming diffusion model into high-fidelity controllable occupancy world model},
  author={Gu, Songen and Yin, Wei and Jin, Bu and Guo, Xiaoyang and Wang, Junming and Li, Haodong and Zhang, Qian and Long, Xiaoxiao},
  journal={arXiv preprint arXiv:2410.10429},
  year={2024}
}