conda env create -f env.yml
# if you couldn't solve the environment:
conda env create -f env_sub.yml
conda activate mesh_inv

- datasets
  - cub
    - CUB_200_2011
    - cache
    - predicted_mask
    - pseudogt_512x512

python run_inversion.py --name author_released --checkpoint_dir pretrained

python run_evaluation.py --name author_released --eval_option IoU
python run_evaluation.py --name author_released --eval_option FID_1
python run_evaluation.py --name author_released --eval_option FID_12
python run_evaluation.py --name author_released --eval_option FID_10

python run_pretraining.py --name self_train --gpu_ids 0,1,2,3 --epochs 600

@inproceedings{zhang2022monocular,
    title = {Monocular 3D Object Reconstruction with GAN Inversion},
    author = {Zhang, Junzhe and Ren, Daxuan and Cai, Zhongang and Yeo, Chai Kiat and Dai, Bo and Loy, Chen Change},
    booktitle = {ECCV},
    year = {2022}}