Pytorch implementation of Physically-Guided Disentangled Implicit Rendering for 3D Face Modeling (2022 CVPR)
env: nsml v2
gpu: V100-1
- Environment setup
- set up your environment following the Unsup3D's guide
- OR use
env.yaml
- Dataset setup
- Training
- change
phydir path
,conda path
andconfig name
- change
Example:
cd [phydir] && \
source /home/nsml/anaconda3/etc/profile.d/conda.sh && \
conda activate unsup3d && \
python run.py --config configs/[cfg_name].yml --gpu 0 --num_workers 4
--------------------
├── data
│ ├── celeba
│ │ ├── train
│ │ ├── val
│ │ ├── test
│ │ │ ├── datalist ([id].json)
│ │ │ ├── *.jpg
| ├── casia
| ├── celebamask_hq
├── configs
│ ├── *.yml
├── phydir
│ ├── datasets
| ├── models
| ├── *.py
├── results
├── run.py
--------------------
References