├── Dockerfile ├── LICENSE.txt ├── README.md ├── StyleGAN_Encoder_Tutorial.ipynb ├── adaptive.py ├── align_images.py ├── dataset_tool.py ├── dnnlib ├── __init__.py ├── submission │ ├── __init__.py │ ├── internal │ │ ├── __init__.py │ │ └── local.py │ ├── run_context.py │ └── submit.py ├── tflib │ ├── __init__.py │ ├── autosummary.py │ ├── custom_ops.py │ ├── network.py │ ├── ops │ │ ├── __init__.py │ │ ├── fused_bias_act.cu │ │ ├── fused_bias_act.py │ │ ├── upfirdn_2d.cu │ │ └── upfirdn_2d.py │ ├── optimizer.py │ └── tfutil.py └── util.py ├── docs ├── license.html ├── stylegan2-teaser-1024x256.png ├── stylegan2-training-curves.png ├── stylegan2encoder-teaser-1024x256.png └── versions.html ├── encode_images.py ├── encoder ├── __init__.py ├── generator_model.py └── perceptual_model.py ├── ffhq_dataset ├── __init__.py ├── face_alignment.py └── landmarks_detector.py ├── metrics ├── __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 ├── pretrained_networks.py ├── projector.py ├── robust_loss ├── README.md ├── cubic_spline.py ├── data │ └── partition_spline.npz ├── distribution.py ├── general.py ├── requirements.txt ├── run.sh ├── util.py └── wavelet.py ├── run_generator.py ├── run_metrics.py ├── run_projector.py ├── run_training.py ├── swa.py ├── test_nvcc.cu └── training ├── __init__.py ├── dataset.py ├── loss.py ├── misc.py ├── networks_stylegan.py ├── networks_stylegan2.py └── training_loop.py /Dockerfile: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/robertluxemburg/stylegan2encoder/HEAD/Dockerfile -------------------------------------------------------------------------------- /LICENSE.txt: -------------------------------------------------------------------------------- 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