├── .DS_Store ├── LICENSE ├── README.md ├── calc_metrics.py ├── dataset_tool.py ├── dnnlib ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ └── util.cpython-36.pyc └── util.py ├── docs ├── .DS_Store ├── cityscape_paper.png ├── overall_architecture.png └── style_mixing.png ├── generate.py ├── legacy.py ├── metrics ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ ├── frechet_inception_distance.cpython-36.pyc │ ├── inception_score.cpython-36.pyc │ ├── kernel_inception_distance.cpython-36.pyc │ ├── metric_main.cpython-36.pyc │ ├── metric_utils.cpython-36.pyc │ ├── perceptual_path_length.cpython-36.pyc │ └── precision_recall.cpython-36.pyc ├── frechet_inception_distance.py ├── inception_score.py ├── kernel_inception_distance.py ├── metric_main.py ├── metric_utils.py ├── perceptual_path_length.py └── precision_recall.py ├── torch_utils ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ ├── custom_ops.cpython-36.pyc │ ├── misc.cpython-36.pyc │ ├── persistence.cpython-36.pyc │ └── training_stats.cpython-36.pyc ├── custom_ops.py ├── misc.py ├── ops │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── bias_act.cpython-36.pyc │ │ ├── conv2d_gradfix.cpython-36.pyc │ │ ├── conv2d_resample.cpython-36.pyc │ │ ├── fma.cpython-36.pyc │ │ ├── grid_sample_gradfix.cpython-36.pyc │ │ └── upfirdn2d.cpython-36.pyc │ ├── bias_act.cpp │ ├── bias_act.cu │ ├── bias_act.h │ ├── bias_act.py │ ├── conv2d_gradfix.py │ ├── conv2d_resample.py │ ├── fma.py │ ├── grid_sample_gradfix.py │ ├── upfirdn2d.cpp │ ├── upfirdn2d.cu │ ├── upfirdn2d.h │ └── upfirdn2d.py ├── persistence.py └── training_stats.py ├── train.py └── training ├── __init__.py ├── __pycache__ ├── __init__.cpython-36.pyc ├── augment.cpython-36.pyc ├── dataset.cpython-36.pyc ├── loss.cpython-36.pyc ├── networks_Discriminator.cpython-36.pyc ├── networks_Generator.cpython-36.pyc └── training_loop.cpython-36.pyc ├── augment.py ├── dataset.py ├── loss.py ├── networks.py ├── 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