├── Examples └── visulization.png ├── License ├── Readme.md ├── detector_codes ├── AutoGAN-master │ ├── .DS_Store │ ├── .gitmodules │ ├── README.md │ ├── autogan │ ├── code │ │ ├── GAN_Detection_Test.py │ │ ├── GAN_Detection_Train.py │ │ ├── Loggers.py │ │ ├── Utils.py │ │ ├── cycleGAN_dataset.py │ │ ├── pggan_dnet.py │ │ ├── run_test.py │ │ └── run_training.py │ ├── conda │ │ └── AutoGAN.yml │ ├── data │ │ ├── fake │ │ └── real │ └── fig │ │ ├── AutoGAN.png │ │ ├── AutoGAN_Image.png │ │ └── checkerboard.png ├── CNNDetection-master │ ├── LICENSE.txt │ ├── README.md │ ├── data │ │ ├── __init__.py │ │ └── datasets.py │ ├── dataset │ │ ├── test │ │ │ └── download_testset.sh │ │ ├── train │ │ │ └── download_trainset.sh │ │ └── val │ │ │ └── download_valset.sh │ ├── demo.py │ ├── demo_dir.py │ ├── earlystop.py │ ├── eval.py │ ├── eval_config.py │ ├── examples │ │ ├── fake.png │ │ ├── real.png │ │ └── realfakedir │ │ │ ├── 0_real │ │ │ └── real.png │ │ │ └── 1_fake │ │ │ └── fake.png │ ├── networks │ │ ├── __init__.py │ │ ├── base_model.py │ │ ├── lpf.py │ │ ├── resnet.py │ │ ├── resnet_lpf.py │ │ └── trainer.py │ ├── options │ │ ├── __init__.py │ │ ├── base_options.py │ │ ├── test_options.py │ │ └── train_options.py │ ├── requirements.txt │ ├── train.py │ ├── util.py │ ├── validate.py │ └── weights │ │ └── download_weights.sh ├── F3Net-main │ ├── README.md │ └── f3net.py ├── Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild-master │ ├── .fuse_hidden0000b11f00000019 │ ├── README.md │ ├── face.PNG │ ├── pggan-celeba │ │ ├── __pycache__ │ │ │ └── resnet18_gram.cpython-37.pyc │ │ ├── demo.py │ │ ├── gene.py │ │ ├── list │ │ ├── main.py │ │ ├── resnet18_gram.py │ │ ├── result.txt │ │ ├── test.py │ │ ├── test2.py │ │ └── test3.py │ ├── pngdata │ │ └── data │ │ │ └── style-ffhq │ │ │ └── .fuse_hidden0000b34e00000018 │ ├── stylegan-celeba │ │ ├── .fuse_hidden0000b13200000005 │ │ ├── .fuse_hidden0000b13600000004 │ │ ├── .fuse_hidden0000b13800000003 │ │ ├── .fuse_hidden0000b30800000008 │ │ ├── .fuse_hidden0000b30900000007 │ │ ├── .fuse_hidden0000b55f00000006 │ │ ├── .fuse_hidden0000b5a300000009 │ │ ├── .fuse_hidden0000b5a400000010 │ │ ├── .fuse_hidden0000b5a50000000f │ │ ├── .fuse_hidden0000b5a800000011 │ │ ├── .fuse_hidden0000b5aa00000013 │ │ ├── .fuse_hidden0000b5ab00000012 │ │ ├── __pycache__ │ │ │ └── resnet18_gram.cpython-37.pyc │ │ ├── demo.py │ │ ├── demo.txt │ │ ├── gene.py │ │ ├── list │ │ ├── main.py │ │ ├── resnet18_gram.py │ │ ├── result.txt │ │ ├── test.py │ │ ├── test2.py │ │ └── test3.py │ └── stylegan-ffhq │ │ ├── __pycache__ │ │ └── resnet18_gram.cpython-37.pyc │ │ ├── demo.py │ │ ├── gene.py │ │ ├── list │ │ ├── main.py │ │ ├── resnet18_gram.py │ │ ├── result.txt │ │ ├── test.py │ │ ├── test2.py │ │ ├── test3.py │ │ └── test4.py ├── Readme.md ├── Swin-Transformer-main │ ├── .gitignore │ ├── CODE_OF_CONDUCT.md │ ├── LICENSE │ ├── MODELHUB.md │ ├── README.md │ ├── SECURITY.md │ ├── SUPPORT.md │ ├── config.py │ ├── configs │ │ ├── simmim │ │ │ ├── simmim_finetune__swin_base__img224_window7__800ep.yaml │ │ │ ├── simmim_finetune__swinv2_base__img224_window14__800ep.yaml │ │ │ ├── simmim_pretrain__swin_base__img192_window6__800ep.yaml │ │ │ └── simmim_pretrain__swinv2_base__img192_window12__800ep.yaml │ │ ├── swin │ │ │ ├── swin_base_patch4_window12_384_22kto1k_finetune.yaml │ │ │ ├── swin_base_patch4_window12_384_finetune.yaml │ │ │ ├── swin_base_patch4_window7_224.yaml │ │ │ ├── swin_base_patch4_window7_224_22k.yaml │ │ │ ├── swin_base_patch4_window7_224_22kto1k_finetune.yaml │ │ │ ├── swin_large_patch4_window12_384_22kto1k_finetune.yaml │ │ │ ├── swin_large_patch4_window7_224_22k.yaml │ │ │ ├── swin_large_patch4_window7_224_22kto1k_finetune.yaml │ │ │ ├── swin_small_patch4_window7_224.yaml │ │ │ ├── swin_small_patch4_window7_224_22k.yaml │ │ │ ├── swin_small_patch4_window7_224_22kto1k_finetune.yaml │ │ │ ├── swin_tiny_c24_patch4_window8_256.yaml │ │ │ ├── swin_tiny_patch4_window7_224.yaml │ │ │ ├── swin_tiny_patch4_window7_224_22k.yaml │ │ │ └── swin_tiny_patch4_window7_224_22kto1k_finetune.yaml │ │ ├── swinmlp │ │ │ ├── swin_mlp_base_patch4_window7_224.yaml │ │ │ ├── swin_mlp_tiny_c12_patch4_window8_256.yaml │ │ │ ├── swin_mlp_tiny_c24_patch4_window8_256.yaml │ │ │ └── swin_mlp_tiny_c6_patch4_window8_256.yaml │ │ ├── swinmoe │ │ │ ├── swin_moe_base_patch4_window12_192_16expert_32gpu_22k.yaml │ │ │ ├── swin_moe_base_patch4_window12_192_32expert_32gpu_22k.yaml │ │ │ ├── swin_moe_base_patch4_window12_192_8expert_32gpu_22k.yaml │ │ │ ├── swin_moe_base_patch4_window12_192_cosine_router_32expert_32gpu_22k.yaml │ │ │ ├── swin_moe_base_patch4_window12_192_densebaseline_22k.yaml │ │ │ ├── swin_moe_small_patch4_window12_192_16expert_32gpu_22k.yaml │ │ │ ├── swin_moe_small_patch4_window12_192_32expert_32gpu_22k.yaml │ │ │ ├── swin_moe_small_patch4_window12_192_64expert_64gpu_22k.yaml │ │ │ ├── swin_moe_small_patch4_window12_192_8expert_32gpu_22k.yaml │ │ │ ├── swin_moe_small_patch4_window12_192_cosine_router_32expert_32gpu_22k.yaml │ │ │ └── swin_moe_small_patch4_window12_192_densebaseline_22k.yaml │ │ └── swinv2 │ │ │ ├── swinv2_base_patch4_window12_192_22k.yaml │ │ │ ├── swinv2_base_patch4_window12to16_192to256_22kto1k_ft.yaml │ │ │ ├── swinv2_base_patch4_window12to24_192to384_22kto1k_ft.yaml │ │ │ ├── swinv2_base_patch4_window16_256.yaml │ │ │ ├── swinv2_base_patch4_window8_256.yaml │ │ │ ├── swinv2_large_patch4_window12_192_22k.yaml │ │ │ ├── swinv2_large_patch4_window12to16_192to256_22kto1k_ft.yaml │ │ │ ├── swinv2_large_patch4_window12to24_192to384_22kto1k_ft.yaml │ │ │ ├── swinv2_small_patch4_window16_256.yaml │ │ │ ├── swinv2_small_patch4_window8_256.yaml │ │ │ ├── swinv2_tiny_patch4_window16_256.yaml │ │ │ └── swinv2_tiny_patch4_window8_256.yaml │ ├── data │ │ ├── __init__.py │ │ ├── build.py │ │ ├── cached_image_folder.py │ │ ├── data_simmim_ft.py │ │ ├── data_simmim_pt.py │ │ ├── imagenet22k_dataset.py │ │ ├── map22kto1k.txt │ │ ├── samplers.py │ │ └── zipreader.py │ ├── figures │ │ └── teaser.png │ ├── get_started.md │ ├── kernels │ │ └── window_process │ │ │ ├── setup.py │ │ │ ├── swin_window_process.cpp │ │ │ ├── swin_window_process_kernel.cu │ │ │ ├── unit_test.py │ │ │ └── window_process.py │ ├── logger.py │ ├── lr_scheduler.py │ ├── main.py │ ├── main_moe.py │ ├── main_simmim_ft.py │ ├── main_simmim_pt.py │ ├── models │ │ ├── __init__.py │ │ ├── build.py │ │ ├── simmim.py │ │ ├── swin_mlp.py │ │ ├── swin_transformer.py │ │ ├── swin_transformer_moe.py │ │ └── swin_transformer_v2.py │ ├── optimizer.py │ ├── utils.py │ ├── utils_moe.py │ └── utils_simmim.py ├── deit-main │ ├── .circleci │ │ └── config.yml │ ├── .github │ │ ├── CODE_OF_CONDUCT.md │ │ ├── CONTRIBUTING.md │ │ ├── attn.png │ │ ├── cait.png │ │ ├── cosub.png │ │ ├── deit.png │ │ ├── hmlp.png │ │ ├── paral.png │ │ ├── patch_convnet.png │ │ ├── resmlp.png │ │ ├── revenge.png │ │ └── revenge_da.png │ ├── .gitignore │ ├── LICENSE │ ├── README.md │ ├── README_3things.md │ ├── README_cait.md │ ├── README_cosub.md │ ├── README_deit.md │ ├── README_patchconvnet.md │ ├── README_resmlp.md │ ├── README_revenge.md │ ├── augment.py │ ├── cait_models.py │ ├── datasets.py │ ├── engine.py │ ├── hubconf.py │ ├── losses.py │ ├── main.py │ ├── models.py │ ├── models_v2.py │ ├── patchconvnet_models.py │ ├── requirements.txt │ ├── resmlp_models.py │ ├── run_with_submitit.py │ ├── samplers.py │ ├── tox.ini │ └── utils.py └── pytorch-image-models-0.6.12 │ ├── .gitattributes │ ├── .github │ ├── FUNDING.yml │ ├── ISSUE_TEMPLATE │ │ ├── bug_report.md │ │ ├── config.yml │ │ └── feature_request.md │ └── workflows │ │ ├── build_documentation.yml │ │ ├── build_pr_documentation.yml │ │ ├── delete_doc_comment.yml │ │ └── tests.yml │ ├── .gitignore │ ├── LICENSE │ ├── MANIFEST.in │ ├── README.md │ ├── avg_checkpoints.py │ ├── benchmark.py │ ├── bulk_runner.py │ ├── clean_checkpoint.py │ ├── convert │ ├── convert_from_mxnet.py │ └── convert_nest_flax.py │ ├── distributed_train.sh │ ├── docs │ ├── archived_changes.md │ ├── changes.md │ ├── feature_extraction.md │ ├── index.md │ ├── javascripts │ │ └── tables.js │ ├── models.md │ ├── models │ │ ├── .pages │ │ ├── .templates │ │ │ ├── code_snippets.md │ │ │ ├── generate_readmes.py │ │ │ └── models │ │ │ │ ├── adversarial-inception-v3.md │ │ │ │ ├── advprop.md │ │ │ │ ├── big-transfer.md │ │ │ │ ├── csp-darknet.md │ │ │ │ ├── csp-resnet.md │ │ │ │ ├── csp-resnext.md │ │ │ │ ├── densenet.md │ │ │ │ ├── dla.md │ │ │ │ ├── dpn.md │ │ │ │ ├── ecaresnet.md │ │ │ │ ├── efficientnet-pruned.md │ │ │ │ ├── efficientnet.md │ │ │ │ ├── ensemble-adversarial.md │ │ │ │ ├── ese-vovnet.md │ │ │ │ ├── fbnet.md │ │ │ │ ├── gloun-inception-v3.md │ │ │ │ ├── gloun-resnet.md │ │ │ │ ├── gloun-resnext.md │ │ │ │ ├── gloun-senet.md │ │ │ │ ├── gloun-seresnext.md │ │ │ │ ├── gloun-xception.md │ │ │ │ ├── hrnet.md │ │ │ │ ├── ig-resnext.md │ │ │ │ ├── inception-resnet-v2.md │ │ │ │ ├── inception-v3.md │ │ │ │ ├── inception-v4.md │ │ │ │ ├── legacy-se-resnet.md │ │ │ │ ├── legacy-se-resnext.md │ │ │ │ ├── legacy-senet.md │ │ │ │ ├── mixnet.md │ │ │ │ ├── mnasnet.md │ │ │ │ ├── mobilenet-v2.md │ │ │ │ ├── mobilenet-v3.md │ │ │ │ ├── nasnet.md │ │ │ │ ├── noisy-student.md │ │ │ │ ├── pnasnet.md │ │ │ │ ├── regnetx.md │ │ │ │ ├── regnety.md │ │ │ │ ├── res2net.md │ │ │ │ ├── res2next.md │ │ │ │ ├── resnest.md │ │ │ │ ├── resnet-d.md │ │ │ │ ├── resnet.md │ │ │ │ ├── resnext.md │ │ │ │ ├── rexnet.md │ │ │ │ ├── se-resnet.md │ │ │ │ ├── selecsls.md │ │ │ │ ├── seresnext.md │ │ │ │ ├── skresnet.md │ │ │ │ ├── skresnext.md │ │ │ │ ├── spnasnet.md │ │ │ │ ├── ssl-resnet.md │ │ │ │ ├── ssl-resnext.md │ │ │ │ ├── swsl-resnet.md │ │ │ │ ├── swsl-resnext.md │ │ │ │ ├── tf-efficientnet-condconv.md │ │ │ │ ├── tf-efficientnet-lite.md │ │ │ │ ├── tf-efficientnet.md │ │ │ │ ├── tf-inception-v3.md │ │ │ │ ├── tf-mixnet.md │ │ │ │ ├── tf-mobilenet-v3.md │ │ │ │ ├── tresnet.md │ │ │ │ ├── vision-transformer.md │ │ │ │ ├── wide-resnet.md │ │ │ │ └── xception.md │ │ ├── adversarial-inception-v3.md │ │ ├── advprop.md │ │ ├── big-transfer.md │ │ ├── csp-darknet.md │ │ ├── csp-resnet.md │ │ ├── csp-resnext.md │ │ ├── densenet.md │ │ ├── dla.md │ │ ├── dpn.md │ │ ├── ecaresnet.md │ │ ├── efficientnet-pruned.md │ │ ├── efficientnet.md │ │ ├── ensemble-adversarial.md │ │ ├── ese-vovnet.md │ │ ├── fbnet.md │ │ ├── gloun-inception-v3.md │ │ ├── gloun-resnet.md │ │ ├── gloun-resnext.md │ │ ├── gloun-senet.md │ │ ├── gloun-seresnext.md │ │ ├── gloun-xception.md │ │ ├── hrnet.md │ │ ├── ig-resnext.md │ │ ├── inception-resnet-v2.md │ │ ├── inception-v3.md │ │ ├── inception-v4.md │ │ ├── legacy-se-resnet.md │ │ ├── legacy-se-resnext.md │ │ ├── legacy-senet.md │ │ ├── mixnet.md │ │ ├── mnasnet.md │ │ ├── mobilenet-v2.md │ │ ├── mobilenet-v3.md │ │ ├── nasnet.md │ │ ├── noisy-student.md │ │ ├── pnasnet.md │ │ ├── regnetx.md │ │ ├── regnety.md │ │ ├── res2net.md │ │ ├── res2next.md │ │ ├── resnest.md │ │ ├── resnet-d.md │ │ ├── resnet.md │ │ ├── resnext.md │ │ ├── rexnet.md │ │ ├── se-resnet.md │ │ ├── selecsls.md │ │ ├── seresnext.md │ │ ├── skresnet.md │ │ ├── skresnext.md │ │ ├── spnasnet.md │ │ ├── ssl-resnet.md │ │ ├── ssl-resnext.md │ │ ├── swsl-resnet.md │ │ ├── swsl-resnext.md │ │ ├── tf-efficientnet-condconv.md │ │ ├── tf-efficientnet-lite.md │ │ ├── tf-efficientnet.md │ │ ├── tf-inception-v3.md │ │ ├── tf-mixnet.md │ │ ├── tf-mobilenet-v3.md │ │ ├── tresnet.md │ │ ├── vision-transformer.md │ │ ├── wide-resnet.md │ │ └── xception.md │ ├── results.md │ ├── scripts.md │ └── training_hparam_examples.md │ ├── hfdocs │ └── source │ │ ├── _config.py │ │ ├── _toctree.yml │ │ ├── archived_changes.mdx │ │ ├── changes.mdx │ │ ├── feature_extraction.mdx │ │ ├── index.mdx │ │ ├── model_pages.mdx │ │ ├── models.mdx │ │ ├── models │ │ ├── adversarial-inception-v3.mdx │ │ ├── advprop.mdx │ │ ├── big-transfer.mdx │ │ ├── csp-darknet.mdx │ │ ├── csp-resnet.mdx │ │ ├── csp-resnext.mdx │ │ ├── densenet.mdx │ │ ├── dla.mdx │ │ ├── dpn.mdx │ │ ├── ecaresnet.mdx │ │ ├── efficientnet-pruned.mdx │ │ ├── efficientnet.mdx │ │ ├── ensemble-adversarial.mdx │ │ ├── ese-vovnet.mdx │ │ ├── fbnet.mdx │ │ ├── gloun-inception-v3.mdx │ │ ├── gloun-resnet.mdx │ │ ├── gloun-resnext.mdx │ │ ├── gloun-senet.mdx │ │ ├── gloun-seresnext.mdx │ │ ├── gloun-xception.mdx │ │ ├── hrnet.mdx │ │ ├── ig-resnext.mdx │ │ ├── inception-resnet-v2.mdx │ │ ├── inception-v3.mdx │ │ ├── inception-v4.mdx │ │ ├── legacy-se-resnet.mdx │ │ ├── legacy-se-resnext.mdx │ │ ├── legacy-senet.mdx │ │ ├── mixnet.mdx │ │ ├── mnasnet.mdx │ │ ├── mobilenet-v2.mdx │ │ ├── mobilenet-v3.mdx │ │ ├── nasnet.mdx │ │ ├── noisy-student.mdx │ │ ├── pnasnet.mdx │ │ ├── regnetx.mdx │ │ ├── regnety.mdx │ │ ├── res2net.mdx │ │ ├── res2next.mdx │ │ ├── resnest.mdx │ │ ├── resnet-d.mdx │ │ ├── resnet.mdx │ │ ├── resnext.mdx │ │ ├── rexnet.mdx │ │ ├── se-resnet.mdx │ │ ├── selecsls.mdx │ │ ├── seresnext.mdx │ │ ├── skresnet.mdx │ │ ├── skresnext.mdx │ │ ├── spnasnet.mdx │ │ ├── ssl-resnet.mdx │ │ ├── swsl-resnet.mdx │ │ ├── swsl-resnext.mdx │ │ ├── tf-efficientnet-condconv.mdx │ │ ├── tf-efficientnet-lite.mdx │ │ ├── tf-efficientnet.mdx │ │ ├── tf-inception-v3.mdx │ │ ├── tf-mixnet.mdx │ │ ├── tf-mobilenet-v3.mdx │ │ ├── tresnet.mdx │ │ ├── wide-resnet.mdx │ │ └── xception.mdx │ │ ├── results.mdx │ │ ├── scripts.mdx │ │ └── training_hparam_examples.mdx │ ├── hubconf.py │ ├── inference.py │ ├── mkdocs.yml │ ├── model-index.yml │ ├── requirements-docs.txt │ ├── requirements-modelindex.txt │ ├── requirements.txt │ ├── results │ ├── README.md │ ├── benchmark-infer-amp-nchw-pt111-cu113-rtx3090.csv │ ├── benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv │ ├── benchmark-infer-amp-nhwc-pt111-cu113-rtx3090.csv │ ├── benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv │ ├── benchmark-train-amp-nchw-pt111-cu113-rtx3090.csv │ ├── benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv │ ├── benchmark-train-amp-nhwc-pt111-cu113-rtx3090.csv │ ├── benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv │ ├── generate_csv_results.py │ ├── imagenet21k_goog_synsets.txt │ ├── imagenet_a_indices.txt │ ├── imagenet_a_synsets.txt │ ├── imagenet_r_indices.txt │ ├── imagenet_r_synsets.txt │ ├── imagenet_real_labels.json │ ├── imagenet_synsets.txt │ ├── model_metadata-in1k.csv │ ├── results-imagenet-a-clean.csv │ ├── results-imagenet-a.csv │ ├── results-imagenet-r-clean.csv │ ├── results-imagenet-r.csv │ ├── results-imagenet-real.csv │ ├── results-imagenet.csv │ ├── results-imagenetv2-matched-frequency.csv │ └── results-sketch.csv │ ├── setup.cfg │ ├── setup.py │ ├── tests │ ├── __init__.py │ ├── test_layers.py │ ├── test_models.py │ ├── test_optim.py │ └── test_utils.py │ ├── timm │ ├── __init__.py │ ├── data │ │ ├── __init__.py │ │ ├── auto_augment.py │ │ ├── config.py │ │ ├── constants.py │ │ ├── dataset.py │ │ ├── dataset_factory.py │ │ ├── distributed_sampler.py │ │ ├── loader.py │ │ ├── mixup.py │ │ ├── parsers │ │ │ ├── __init__.py │ │ │ ├── class_map.py │ │ │ ├── img_extensions.py │ │ │ ├── parser.py │ │ │ ├── parser_factory.py │ │ │ ├── parser_image_folder.py │ │ │ ├── parser_image_in_tar.py │ │ │ ├── parser_image_tar.py │ │ │ └── parser_tfds.py │ │ ├── random_erasing.py │ │ ├── real_labels.py │ │ ├── tf_preprocessing.py │ │ ├── transforms.py │ │ └── transforms_factory.py │ ├── loss │ │ ├── __init__.py │ │ ├── asymmetric_loss.py │ │ ├── binary_cross_entropy.py │ │ ├── cross_entropy.py │ │ └── jsd.py │ ├── models │ │ ├── __init__.py │ │ ├── beit.py │ │ ├── byoanet.py │ │ ├── byobnet.py │ │ ├── cait.py │ │ ├── coat.py │ │ ├── convit.py │ │ ├── convmixer.py │ │ ├── convnext.py │ │ ├── crossvit.py │ │ ├── cspnet.py │ │ ├── deit.py │ │ ├── densenet.py │ │ ├── dla.py │ │ ├── dpn.py │ │ ├── edgenext.py │ │ ├── efficientformer.py │ │ ├── efficientnet.py │ │ ├── efficientnet_blocks.py │ │ ├── efficientnet_builder.py │ │ ├── factory.py │ │ ├── features.py │ │ ├── fx_features.py │ │ ├── gcvit.py │ │ ├── ghostnet.py │ │ ├── gluon_resnet.py │ │ ├── gluon_xception.py │ │ ├── hardcorenas.py │ │ ├── helpers.py │ │ ├── hrnet.py │ │ ├── hub.py │ │ ├── inception_resnet_v2.py │ │ ├── inception_v3.py │ │ ├── inception_v4.py │ │ ├── layers │ │ │ ├── __init__.py │ │ │ ├── activations.py │ │ │ ├── activations_jit.py │ │ │ ├── activations_me.py │ │ │ ├── adaptive_avgmax_pool.py │ │ │ ├── attention_pool2d.py │ │ │ ├── blur_pool.py │ │ │ ├── bottleneck_attn.py │ │ │ ├── cbam.py │ │ │ ├── classifier.py │ │ │ ├── cond_conv2d.py │ │ │ ├── config.py │ │ │ ├── conv2d_same.py │ │ │ ├── conv_bn_act.py │ │ │ ├── create_act.py │ │ │ ├── create_attn.py │ │ │ ├── create_conv2d.py │ │ │ ├── create_norm.py │ │ │ ├── create_norm_act.py │ │ │ ├── drop.py │ │ │ ├── eca.py │ │ │ ├── evo_norm.py │ │ │ ├── fast_norm.py │ │ │ ├── filter_response_norm.py │ │ │ ├── gather_excite.py │ │ │ ├── global_context.py │ │ │ ├── halo_attn.py │ │ │ ├── helpers.py │ │ │ ├── inplace_abn.py │ │ │ ├── lambda_layer.py │ │ │ ├── linear.py │ │ │ ├── median_pool.py │ │ │ ├── mixed_conv2d.py │ │ │ ├── ml_decoder.py │ │ │ ├── mlp.py │ │ │ ├── non_local_attn.py │ │ │ ├── norm.py │ │ │ ├── norm_act.py │ │ │ ├── padding.py │ │ │ ├── patch_embed.py │ │ │ ├── pool2d_same.py │ │ │ ├── pos_embed.py │ │ │ ├── selective_kernel.py │ │ │ ├── separable_conv.py │ │ │ ├── space_to_depth.py │ │ │ ├── split_attn.py │ │ │ ├── split_batchnorm.py │ │ │ ├── squeeze_excite.py │ │ │ ├── std_conv.py │ │ │ ├── test_time_pool.py │ │ │ ├── trace_utils.py │ │ │ └── weight_init.py │ │ ├── levit.py │ │ ├── maxxvit.py │ │ ├── mlp_mixer.py │ │ ├── mobilenetv3.py │ │ ├── mobilevit.py │ │ ├── mvitv2.py │ │ ├── nasnet.py │ │ ├── nest.py │ │ ├── nfnet.py │ │ ├── pit.py │ │ ├── pnasnet.py │ │ ├── poolformer.py │ │ ├── pruned │ │ │ ├── ecaresnet101d_pruned.txt │ │ │ ├── ecaresnet50d_pruned.txt │ │ │ ├── efficientnet_b1_pruned.txt │ │ │ ├── efficientnet_b2_pruned.txt │ │ │ └── efficientnet_b3_pruned.txt │ │ ├── pvt_v2.py │ │ ├── registry.py │ │ ├── regnet.py │ │ ├── res2net.py │ │ ├── resnest.py │ │ ├── resnet.py │ │ ├── resnetv2.py │ │ ├── rexnet.py │ │ ├── selecsls.py │ │ ├── senet.py │ │ ├── sequencer.py │ │ ├── sknet.py │ │ ├── swin_transformer.py │ │ ├── swin_transformer_v2.py │ │ ├── swin_transformer_v2_cr.py │ │ ├── tnt.py │ │ ├── tresnet.py │ │ ├── twins.py │ │ ├── vgg.py │ │ ├── visformer.py │ │ ├── vision_transformer.py │ │ ├── vision_transformer_hybrid.py │ │ ├── vision_transformer_relpos.py │ │ ├── volo.py │ │ ├── vovnet.py │ │ ├── xception.py │ │ ├── xception_aligned.py │ │ └── xcit.py │ ├── optim │ │ ├── __init__.py │ │ ├── adabelief.py │ │ ├── adafactor.py │ │ ├── adahessian.py │ │ ├── adamp.py │ │ ├── adamw.py │ │ ├── lamb.py │ │ ├── lars.py │ │ ├── lookahead.py │ │ ├── madgrad.py │ │ ├── nadam.py │ │ ├── nvnovograd.py │ │ ├── optim_factory.py │ │ ├── radam.py │ │ ├── rmsprop_tf.py │ │ └── sgdp.py │ ├── scheduler │ │ ├── __init__.py │ │ ├── cosine_lr.py │ │ ├── multistep_lr.py │ │ ├── plateau_lr.py │ │ ├── poly_lr.py │ │ ├── scheduler.py │ │ ├── scheduler_factory.py │ │ ├── step_lr.py │ │ └── tanh_lr.py │ ├── utils │ │ ├── __init__.py │ │ ├── agc.py │ │ ├── checkpoint_saver.py │ │ ├── clip_grad.py │ │ ├── cuda.py │ │ ├── decay_batch.py │ │ ├── distributed.py │ │ ├── jit.py │ │ ├── log.py │ │ ├── metrics.py │ │ ├── misc.py │ │ ├── model.py │ │ ├── model_ema.py │ │ ├── random.py │ │ └── summary.py │ └── version.py │ ├── train.py │ └── validate.py ├── generator_codes ├── BigGAN-PyTorch-master │ ├── .gitignore │ ├── BigGAN.py │ ├── BigGANdeep.py │ ├── LICENSE │ ├── README.md │ ├── TFHub │ │ ├── README.md │ │ ├── biggan_v1.py │ │ └── converter.py │ ├── animal_hash.py │ ├── calculate_inception_moments.py │ ├── datasets.py │ ├── imgs │ │ ├── D Singular Values.png │ │ ├── DeepSamples.png │ │ ├── DogBall.png │ │ ├── G Singular Values.png │ │ ├── IS_FID.png │ │ ├── Losses.png │ │ ├── header_image.jpg │ │ └── interp_sample.jpg │ ├── inception_tf13.py │ ├── inception_utils.py │ ├── layers.py │ ├── logs │ │ ├── BigGAN_ch96_bs256x8.jsonl │ │ ├── compare_IS.m │ │ ├── metalog.txt │ │ ├── process_inception_log.m │ │ └── process_training.m │ ├── losses.py │ ├── make_hdf5.py │ ├── sample.py │ ├── scripts │ │ ├── launch_BigGAN_bs256x8.sh │ │ ├── launch_BigGAN_bs512x4.sh │ │ ├── launch_BigGAN_ch64_bs256x8.sh │ │ ├── launch_BigGAN_deep.sh │ │ ├── launch_SAGAN_bs128x2_ema.sh │ │ ├── launch_SNGAN.sh │ │ ├── launch_cifar_ema.sh │ │ ├── sample_BigGAN_bs256x8.sh │ │ ├── sample_cifar_ema.sh │ │ └── utils │ │ │ ├── duplicate.sh │ │ │ └── prepare_data.sh │ ├── sync_batchnorm │ │ ├── __init__.py │ │ ├── batchnorm.py │ │ ├── batchnorm_reimpl.py │ │ ├── comm.py │ │ ├── replicate.py │ │ └── unittest.py │ ├── train.py │ ├── train_fns.py │ └── utils.py ├── Readme.md ├── VQ-Diffusion-main │ ├── LICENSE │ ├── OUTPUT │ │ └── pretrained_model │ │ │ ├── config_imagenet.yaml │ │ │ ├── config_text.yaml │ │ │ └── taming_dvae │ │ │ ├── config.yaml │ │ │ ├── taming_f8_8192_openimages.yaml │ │ │ ├── vqgan_ffhq_f16_1024.yaml │ │ │ └── vqgan_imagenet_f16_16384.yaml │ ├── SECURITY.md │ ├── configs │ │ ├── coco.yaml │ │ ├── coco_tune.yaml │ │ ├── cub200.yaml │ │ ├── ffhq.yaml │ │ ├── imagenet.yaml │ │ └── ithq.yaml │ ├── figures │ │ └── framework.png │ ├── help_folder │ │ ├── readme.md │ │ └── statistics │ │ │ ├── taming_vqvae_2887.pt │ │ │ └── taming_vqvae_974.pt │ ├── image_synthesis │ │ ├── data │ │ │ ├── build.py │ │ │ ├── cub200_dataset.py │ │ │ ├── ffhq_dataset.py │ │ │ ├── imagenet_class_index.json │ │ │ ├── imagenet_dataset.py │ │ │ ├── mscoco_dataset.py │ │ │ └── utils │ │ │ │ ├── comm.py │ │ │ │ ├── image_preprocessor.py │ │ │ │ └── manage.py │ │ ├── distributed │ │ │ ├── distributed.py │ │ │ └── launch.py │ │ ├── engine │ │ │ ├── clip_grad_norm.py │ │ │ ├── ema.py │ │ │ ├── logger.py │ │ │ ├── lr_scheduler.py │ │ │ └── solver.py │ │ ├── modeling │ │ │ ├── build.py │ │ │ ├── codecs │ │ │ │ ├── base_codec.py │ │ │ │ ├── image_codec │ │ │ │ │ ├── ema_vqvae.py │ │ │ │ │ ├── patch_vqgan.py │ │ │ │ │ └── taming_gumbel_vqvae.py │ │ │ │ └── text_codec │ │ │ │ │ └── tokenize.py │ │ │ ├── embeddings │ │ │ │ ├── base_embedding.py │ │ │ │ ├── class_embedding.py │ │ │ │ ├── clip_text_embedding.py │ │ │ │ └── dalle_mask_image_embedding.py │ │ │ ├── models │ │ │ │ ├── conditional_dalle.py │ │ │ │ ├── dalle.py │ │ │ │ └── unconditional_dalle.py │ │ │ ├── modules │ │ │ │ └── clip │ │ │ │ │ ├── README.md │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── bpe_simple_vocab_16e6.txt.gz │ │ │ │ │ ├── clip.py │ │ │ │ │ ├── clip_tokenizer.py │ │ │ │ │ ├── model.py │ │ │ │ │ └── simple_tokenizer.py │ │ │ ├── transformers │ │ │ │ ├── diffusion_transformer.py │ │ │ │ └── transformer_utils.py │ │ │ └── utils │ │ │ │ └── misc.py │ │ ├── taming │ │ │ ├── lr_scheduler.py │ │ │ ├── models │ │ │ │ ├── cond_transformer.py │ │ │ │ └── vqgan.py │ │ │ ├── modules │ │ │ │ ├── diffusionmodules │ │ │ │ │ └── model.py │ │ │ │ ├── discriminator │ │ │ │ │ └── model.py │ │ │ │ ├── losses │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── lpips.py │ │ │ │ │ ├── segmentation.py │ │ │ │ │ └── vqperceptual.py │ │ │ │ ├── misc │ │ │ │ │ └── coord.py │ │ │ │ ├── transformer │ │ │ │ │ ├── mingpt.py │ │ │ │ │ └── permuter.py │ │ │ │ ├── util.py │ │ │ │ └── vqvae │ │ │ │ │ └── quantize.py │ │ │ └── util.py │ │ └── utils │ │ │ ├── io.py │ │ │ └── misc.py │ ├── inference_VQ_Diffusion.py │ ├── install_req.sh │ ├── readme.md │ ├── running_command │ │ ├── run_train_coco.py │ │ ├── run_train_cub.py │ │ ├── run_train_ffhq.py │ │ ├── run_train_imagenet.py │ │ └── run_tune_coco.py │ └── train.py ├── glide-text2im-main │ ├── .gitignore │ ├── LICENSE │ ├── README.md │ ├── glide_text2im │ │ ├── __init__.py │ │ ├── clip │ │ │ ├── __init__.py │ │ │ ├── attention.py │ │ │ ├── config.yaml │ │ │ ├── encoders.py │ │ │ ├── model_creation.py │ │ │ └── utils.py │ │ ├── download.py │ │ ├── fp16_util.py │ │ ├── gaussian_diffusion.py │ │ ├── model_creation.py │ │ ├── nn.py │ │ ├── respace.py │ │ ├── text2im_model.py │ │ ├── tokenizer │ │ │ ├── __init__.py │ │ │ ├── bpe.py │ │ │ ├── bpe_simple_vocab_16e6.txt.gz │ │ │ ├── encoder.json.gz │ │ │ ├── simple_tokenizer.py │ │ │ └── vocab.bpe.gz │ │ ├── unet.py │ │ └── xf.py │ ├── model-card.md │ ├── notebooks │ │ ├── clip_guided.ipynb │ │ ├── grass.png │ │ ├── inpaint.ipynb │ │ └── text2im.ipynb │ └── setup.py ├── guided-diffusion-main │ ├── .gitignore │ ├── LICENSE │ ├── README.md │ ├── datasets │ │ ├── README.md │ │ └── lsun_bedroom.py │ ├── evaluations │ │ ├── README.md │ │ ├── evaluator.py │ │ └── requirements.txt │ ├── guided_diffusion │ │ ├── __init__.py │ │ ├── dist_util.py │ │ ├── fp16_util.py │ │ ├── gaussian_diffusion.py │ │ ├── image_datasets.py │ │ ├── logger.py │ │ ├── losses.py │ │ ├── nn.py │ │ ├── resample.py │ │ ├── respace.py │ │ ├── script_util.py │ │ ├── train_util.py │ │ └── unet.py │ ├── model-card.md │ ├── scripts │ │ ├── classifier_sample.py │ │ ├── classifier_train.py │ │ ├── image_nll.py │ │ ├── image_sample.py │ │ ├── image_train.py │ │ ├── super_res_sample.py │ │ └── super_res_train.py │ └── setup.py └── stable-diffusion-main │ ├── LICENSE │ ├── README.md │ ├── Stable_Diffusion_v1_Model_Card.md │ ├── assets │ ├── a-painting-of-a-fire.png │ ├── a-photograph-of-a-fire.png │ ├── a-shirt-with-a-fire-printed-on-it.png │ ├── a-shirt-with-the-inscription-'fire'.png │ ├── a-watercolor-painting-of-a-fire.png │ ├── birdhouse.png │ ├── fire.png │ ├── inpainting.png │ ├── modelfigure.png │ ├── rdm-preview.jpg │ ├── reconstruction1.png │ ├── reconstruction2.png │ ├── results.gif │ ├── rick.jpeg │ ├── stable-samples │ │ ├── img2img │ │ │ ├── mountains-1.png │ │ │ ├── mountains-2.png │ │ │ ├── mountains-3.png │ │ │ ├── sketch-mountains-input.jpg │ │ │ ├── upscaling-in.png │ │ │ └── upscaling-out.png │ │ └── txt2img │ │ │ ├── 000002025.png │ │ │ ├── 000002035.png │ │ │ ├── merged-0005.png │ │ │ ├── merged-0006.png │ │ │ └── merged-0007.png │ ├── the-earth-is-on-fire,-oil-on-canvas.png │ ├── txt2img-convsample.png │ ├── txt2img-preview.png │ └── v1-variants-scores.jpg │ ├── configs │ ├── autoencoder │ │ ├── autoencoder_kl_16x16x16.yaml │ │ ├── autoencoder_kl_32x32x4.yaml │ │ ├── autoencoder_kl_64x64x3.yaml │ │ └── autoencoder_kl_8x8x64.yaml │ ├── latent-diffusion │ │ ├── celebahq-ldm-vq-4.yaml │ │ ├── cin-ldm-vq-f8.yaml │ │ ├── cin256-v2.yaml │ │ ├── ffhq-ldm-vq-4.yaml │ │ ├── lsun_bedrooms-ldm-vq-4.yaml │ │ ├── lsun_churches-ldm-kl-8.yaml │ │ └── txt2img-1p4B-eval.yaml │ ├── retrieval-augmented-diffusion │ │ └── 768x768.yaml │ └── stable-diffusion │ │ └── v1-inference.yaml │ ├── data │ ├── DejaVuSans.ttf │ ├── example_conditioning │ │ ├── superresolution │ │ │ └── sample_0.jpg │ │ └── text_conditional │ │ │ └── sample_0.txt │ ├── imagenet_clsidx_to_label.txt │ ├── imagenet_train_hr_indices.p │ ├── imagenet_val_hr_indices.p │ ├── index_synset.yaml │ └── inpainting_examples │ │ ├── 6458524847_2f4c361183_k.png │ │ ├── 6458524847_2f4c361183_k_mask.png │ │ ├── 8399166846_f6fb4e4b8e_k.png │ │ ├── 8399166846_f6fb4e4b8e_k_mask.png │ │ ├── alex-iby-G_Pk4D9rMLs.png │ │ ├── alex-iby-G_Pk4D9rMLs_mask.png │ │ ├── bench2.png │ │ ├── bench2_mask.png │ │ ├── bertrand-gabioud-CpuFzIsHYJ0.png │ │ ├── bertrand-gabioud-CpuFzIsHYJ0_mask.png │ │ ├── billow926-12-Wc-Zgx6Y.png │ │ ├── billow926-12-Wc-Zgx6Y_mask.png │ │ ├── overture-creations-5sI6fQgYIuo.png │ │ ├── overture-creations-5sI6fQgYIuo_mask.png │ │ ├── photo-1583445095369-9c651e7e5d34.png │ │ └── photo-1583445095369-9c651e7e5d34_mask.png │ ├── environment.yaml │ ├── ldm │ ├── data │ │ ├── __init__.py │ │ ├── base.py │ │ ├── imagenet.py │ │ └── lsun.py │ ├── lr_scheduler.py │ ├── models │ │ ├── autoencoder.py │ │ └── diffusion │ │ │ ├── __init__.py │ │ │ ├── classifier.py │ │ │ ├── ddim.py │ │ │ ├── ddpm.py │ │ │ ├── dpm_solver │ │ │ ├── __init__.py │ │ │ ├── dpm_solver.py │ │ │ └── sampler.py │ │ │ └── plms.py │ ├── modules │ │ ├── attention.py │ │ ├── diffusionmodules │ │ │ ├── __init__.py │ │ │ ├── model.py │ │ │ ├── openaimodel.py │ │ │ └── util.py │ │ ├── distributions │ │ │ ├── __init__.py │ │ │ └── distributions.py │ │ ├── ema.py │ │ ├── encoders │ │ │ ├── __init__.py │ │ │ └── modules.py │ │ ├── image_degradation │ │ │ ├── __init__.py │ │ │ ├── bsrgan.py │ │ │ ├── bsrgan_light.py │ │ │ ├── utils │ │ │ │ └── test.png │ │ │ └── utils_image.py │ │ ├── losses │ │ │ ├── __init__.py │ │ │ ├── contperceptual.py │ │ │ └── vqperceptual.py │ │ └── x_transformer.py │ └── util.py │ ├── main.py │ ├── models │ ├── first_stage_models │ │ ├── kl-f16 │ │ │ └── config.yaml │ │ ├── kl-f32 │ │ │ └── config.yaml │ │ ├── kl-f4 │ │ │ └── config.yaml │ │ ├── kl-f8 │ │ │ └── config.yaml │ │ ├── vq-f16 │ │ │ └── config.yaml │ │ ├── vq-f4-noattn │ │ │ └── config.yaml │ │ ├── vq-f4 │ │ │ └── config.yaml │ │ ├── vq-f8-n256 │ │ │ └── config.yaml │ │ └── vq-f8 │ │ │ └── config.yaml │ └── ldm │ │ ├── bsr_sr │ │ └── config.yaml │ │ ├── celeba256 │ │ └── config.yaml │ │ ├── cin256 │ │ └── config.yaml │ │ ├── ffhq256 │ │ └── config.yaml │ │ ├── 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