3DFaceShop
[TVCG 2023] 3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
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- install.md
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- __init__.py
- verification.py
- __init__.py
- plot.py
- utils_callbacks.py
- utils_config.py
- utils_logging.py
- dataset.py
- dist.sh
- eval_ijbc.py
- flops.py
- inference.py
- losses.py
- lr_scheduler.py
- onnx_helper.py
- onnx_ijbc.py
- partial_fc.py
- README.md
- requirement.txt
- run.sh
- torch2onnx.py
- train.py
- decoders.cpython-36.pyc
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- util.cpython-37.pyc
- visualizer.cpython-37.pyc
- __init__.py
- BBRegressorParam_r.mat
- detect_lm68.py
- generate_list.py
- html.py
- load_mats.py
- nvdiffrast.py
- preprocess.py
- skin_mask.py
- test_mean_face.txt
- util.py
- visualizer.py
- bfm.py
- facerecon_model.py
- hair.py
- networks.py
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- __init__.cpython-36.pyc
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- __init__.py
- generators.py
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- volumetric_rendering.py
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- __init__.py
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- fused_act.py
- fused_bias_act.cpp
- fused_bias_act_kernel.cu
- upfirdn2d.cpp
- upfirdn2d.py
- upfirdn2d_kernel.cu
- __init__.cpython-36.pyc
- __init__.cpython-37.pyc
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- upfirdn2d.cpython-36.pyc
- upfirdn2d.cpython-37.pyc
- upfirdn2d.cpython-38.pyc
- __init__.py
- bias_act.cpp
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- upfirdn2d.cpp
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- __init__.py
- custom_ops.py
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- vaes.py
- curriculums.py
- datasets.py
- fid_evaluation.py
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- README.md
- requirements.txt
- test.py
- train_control.py
- train_vae.py
- warp_utils.py
# Installation Guide
1. Get the code
git clone https://github.com/junshutang/3DFaceShop
Downloads the entire project code from GitHub to your computer.
cd 3DFaceShop
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install -U git+https://github.com/fadel/pytorch_ema
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
pip install -U git+https://github.com/fadel/pytorch_ema
Installs the package published on PyPI directly β no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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