mganprior
[CVPR 2020] Image Processing Using Multi-Code GAN Prior
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Download Latest Version (.zip)- pggan_celebahq_age_boundary.npy
- pggan_celebahq_expression_boundary.npy
- pggan_celebahq_gender_boundary.npy
- pggan_celebahq_pose_boundary.npy
- __init__.py
- derivable_generator.py
- gan_utils.py
- bootstrap.min.css
- dip.jpg
- font.css
- gandissect.png
- genforce.png
- igan.jpg
- interfacegan.jpg
- optimization.gif
- seeing.png
- style.css
- teaser.jpg
- index.html
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- __init__.py
- inversion_methods.py
- losses.py
- __init__.py
- frechet_inception_distance.py
- inception_score.py
- ms_ssim.py
- sliced_wasserstein.py
- config.py
- dataset.py
- dataset_tool.py
- legacy.py
- loss.py
- misc.py
- networks.py
- README.md
- tfutil.py
- train.py
- util_scripts.py
- __init__.py
- local.py
- __init__.py
- run_context.py
- submit.py
- __init__.py
- fused_bias_act.cu
- fused_bias_act.py
- upfirdn_2d.cu
- upfirdn_2d.py
- __init__.py
- autosummary.py
- custom_ops.py
- network.py
- optimizer.py
- tfutil.py
- __init__.py
- util.py
- __init__.py
- frechet_inception_distance.py
- inception_score.py
- linear_separability.py
- metric_base.py
- metric_defaults.py
- perceptual_path_length.py
- precision_recall.py
- __init__.py
- dataset.py
- loss.py
- misc.py
- networks_stylegan.py
- networks_stylegan2.py
- training_loop.py
- dataset_tool.py
- Dockerfile
- pretrained_networks.py
- projector.py
- README.md
- run_generator.py
- run_metrics.py
- run_projector.py
- run_training.py
- test_nvcc.cu
- run.py
- __init__.py
- run_context.py
- submit.py
- __init__.py
- autosummary.py
- network.py
- optimizer.py
- tfutil.py
- __init__.py
- util.py
- __init__.py
- frechet_inception_distance.py
- linear_separability.py
- metric_base.py
- perceptual_path_length.py
- __init__.py
- dataset.py
- loss.py
- misc.py
- networks_progan.py
- networks_stylegan.py
- training_loop.py
- config.py
- dataset_tool.py
- generate_figures.py
- pretrained_example.py
- README.md
- run_metrics.py
- train.py
- __init__.py
- base_generator.py
- helper.py
- model_settings.py
- pggan_generator.py
- pggan_generator_network.py
- README.md
- stylegan2_generator.py
- stylegan2_generator_network.py
- stylegan_generator.py
- stylegan_generator_network.py
- age.npy
- gender.npy
- smile.npy
- donald_trump_01.npy
- hillary_clinton_01.npy
- __init__.py
- face_alignment.py
- landmarks_detector.py
- __init__.py
- file_utils.py
- image_precossing.py
- manipulate.py
- .gitignore
- colorization.py
- face_semantic_editing.py
- inpainting.py
- multi_code_inversion.py
- README.md
- requirements.txt
- super_resolution.py
# Installation Guide
1. Get the code
git clone https://github.com/genforce/mganprior
Downloads the entire project code from GitHub to your computer.
cd mganprior
Moves into the project folder you just downloaded.
2. Docker
Easy RecommendedPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
β οΈ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
docker build -f models/stylegan2_tf_official/Dockerfile -t mganprior .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 mganprior
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
3. Python
EasyPrerequisites
python -m pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
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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