├── README.md ├── __pycache__ └── legacy.cpython-38.pyc ├── dataset_tool.py ├── dnnlib ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-38.pyc │ └── util.cpython-38.pyc └── util.py ├── environment.yml ├── feature_networks ├── __pycache__ │ ├── constants.cpython-38.pyc │ ├── pretrained_builder.cpython-38.pyc │ └── vit.cpython-38.pyc ├── clip │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-38.pyc │ │ ├── clip.cpython-38.pyc │ │ ├── model.cpython-38.pyc │ │ └── simple_tokenizer.cpython-38.pyc │ ├── bpe_simple_vocab_16e6.txt.gz │ ├── clip.py │ ├── model.py │ └── simple_tokenizer.py ├── constants.py ├── pretrained_builder.py └── vit.py ├── gen_images.py ├── gui_utils ├── __init__.py ├── gl_utils.py ├── glfw_window.py ├── imgui_utils.py ├── imgui_window.py └── text_utils.py ├── in_embeddings └── tf_efficientnet_lite0.pkl ├── legacy.py ├── media ├── banner.png ├── editing_banner.png ├── imagenet_idx2labels.txt ├── inversion.gif ├── jay.png ├── multimodal_truncation.png ├── no_truncation.png ├── system.png ├── teaser.png └── unimodal_truncation.png ├── metrics ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-38.pyc │ ├── equivariance.cpython-38.pyc │ ├── frechet_inception_distance.cpython-38.pyc │ ├── inception_score.cpython-38.pyc │ ├── kernel_inception_distance.cpython-38.pyc │ ├── metric_main.cpython-38.pyc │ ├── metric_utils.cpython-38.pyc │ ├── perceptual_path_length.cpython-38.pyc │ └── precision_recall.cpython-38.pyc ├── equivariance.py ├── frechet_inception_distance.py ├── inception_score.py ├── kernel_inception_distance.py ├── metric_main.py ├── metric_utils.py ├── perceptual_path_length.py └── precision_recall.py ├── pg_modules ├── __pycache__ │ ├── blocks.cpython-38.pyc │ ├── discriminator.cpython-38.pyc │ └── projector.cpython-38.pyc ├── blocks.py ├── discriminator.py └── projector.py ├── torch_utils ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-38.pyc │ ├── custom_ops.cpython-38.pyc │ ├── gen_utils.cpython-38.pyc │ ├── misc.cpython-38.pyc │ ├── persistence.cpython-38.pyc │ └── training_stats.cpython-38.pyc ├── custom_ops.py ├── gen_utils.py ├── misc.py ├── ops │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-38.pyc │ │ ├── bias_act.cpython-38.pyc │ │ ├── conv2d_gradfix.cpython-38.pyc │ │ ├── conv2d_resample.cpython-38.pyc │ │ ├── filtered_lrelu.cpython-38.pyc │ │ ├── fma.cpython-38.pyc │ │ ├── grid_sample_gradfix.cpython-38.pyc │ │ └── upfirdn2d.cpython-38.pyc │ ├── bias_act.cpp │ ├── bias_act.cu │ ├── bias_act.h │ ├── bias_act.py │ ├── conv2d_gradfix.py │ ├── conv2d_resample.py │ ├── filtered_lrelu.cpp │ ├── filtered_lrelu.cu │ ├── filtered_lrelu.h │ ├── filtered_lrelu.py │ ├── filtered_lrelu_ns.cu │ ├── filtered_lrelu_rd.cu │ ├── filtered_lrelu_wr.cu │ ├── fma.py │ ├── grid_sample_gradfix.py │ ├── upfirdn2d.cpp │ ├── upfirdn2d.cu │ ├── upfirdn2d.h │ └── upfirdn2d.py ├── persistence.py ├── training_stats.py └── utils_spectrum.py ├── train.py ├── training ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-38.pyc │ ├── dataset.cpython-38.pyc │ ├── diffaug.cpython-38.pyc │ ├── networks_gmgan.cpython-38.pyc │ ├── networks_stylegan2.cpython-38.pyc │ └── training_loop.cpython-38.pyc ├── augment.py ├── dataset.py ├── diffaug.py ├── loss.py ├── networks_fastgan.py ├── networks_gmgan.py ├── networks_stylegan2.py ├── networks_stylegan3.py ├── networks_stylegan3_resetting.py └── training_loop.py └── viz ├── __init__.py ├── capture_widget.py ├── equivariance_widget.py ├── latent_widget.py ├── layer_widget.py ├── performance_widget.py ├── pickle_widget.py ├── renderer.py ├── stylemix_widget.py └── trunc_noise_widget.py /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Rajhans0/Poly_INR/HEAD/README.md -------------------------------------------------------------------------------- /__pycache__/legacy.cpython-38.pyc: -------------------------------------------------------------------------------- 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