├── .gitignore ├── LICENSE ├── P2_weighting ├── 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 ├── 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 ├── README.md ├── diffae ├── __init__.py ├── align.py ├── choices.py ├── cog.yaml ├── config.py ├── config_base.py ├── dataset.py ├── dataset_util.py ├── diffusion │ ├── __init__.py │ ├── base.py │ ├── diffusion.py │ └── resample.py ├── dist_utils.py ├── evals │ └── church256_autoenc.txt ├── experiment.py ├── experiment_classifier.py ├── lmdb_writer.py ├── metrics.py ├── model │ ├── __init__.py │ ├── blocks.py │ ├── latentnet.py │ ├── nn.py │ ├── unet.py │ └── unet_autoenc.py ├── predict.py ├── renderer.py ├── run_afhq256-dog.py ├── run_church256.py ├── ssim.py ├── templates.py ├── templates_cls.py └── templates_latent.py ├── environment.yaml ├── eval_diffaeB.py ├── gen_style_domA.py ├── imgs └── teaser.jpg ├── imgs_input_domA ├── img1.png ├── img2.png ├── img3.png ├── img4.png ├── img5.png └── img6.png ├── imgs_style_domB ├── img1.png ├── img2.png ├── img3.png ├── img4.png └── img5.png ├── scripts ├── eval.sh ├── prepare_train.sh └── train.sh ├── train_diffaeB.py └── utils ├── args.py ├── map_net.py ├── tester.py └── trainer.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hansam95/OSASIS/HEAD/.gitignore -------------------------------------------------------------------------------- /LICENSE: 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