pip install pytorch-lightning, inplace_abn
pip install imageio, pillow, scikit-image, opencv-python, config-argparse, lpips

python train.py --root_dir dataset_path --num_epochs 32 \
                --batch_size 4 --depth_interval 2.65 --n_depths 8 32 48 --interval_ratios 1.0 2.0 4.0 \
                --optimizer adam --lr 1e-3 --lr_scheduler cosine --num_gpus 4 --loss_type sup --exp_name sup \
                --ckpt_dir ./ckpts --log_dir ./logs

python train.py --root_dir dataset_path --num_epochs 32 \
                --batch_size 4 --depth_interval 2.65 --n_depths 8 32 48 --interval_ratios 1.0 2.0 4.0 \
                --optimizer adam --lr 1e-3 --lr_scheduler cosine --num_gpus 4 --loss_type unsup --exp_name unsup \
                --ckpt_dir ./ckpts --log_dir ./logs

python test.py --root_dir dataset_path

@inproceedings{nguyen2021rgbd,
  title={RGBD-Net: Predicting color and depth images for novel views synthesis},
  author={Nguyen-Ha, Phong and Karnewar, Animesh and Huynh, Lam and Rahtu, Esa and Heikkila, Janne},
  booktitle={Proceedings of the International Conference on 3D Vision},
  year={2021}
}