├── LICENSE ├── README.md ├── configs ├── minecraft │ ├── 013_minecraft_v1_multiresolution_backpropagated_decoder_1_300k_skybox_v3_pretr_1k_reweighted_patch_48_rl_1.0_pl_0.1_kl_0.5e-5_autolr_1e-4_div_0.0_spi_150_bs_8_obs_3_skip_100_res_512.yaml │ ├── autoencoder │ │ └── 01_minecraft_v1_autoencoder_v9_feat_128_bott_3_levels_2_input_augm_pl_0.01_kl_0.000005_bs_20_res_512.yaml │ └── playability │ │ └── 022_minecraft_v1_model_013_dyn_v9_act_v5_discriminator_v7_no_style_act_dir_beta_0.5_rtds_3-256_ganlamb_0.1_dganlamb_1.0_acmv_0.1_3-256_bs_64_observations_4-4-5-9.yaml └── tennis │ ├── 193_tennis_v7_adain_style_multiresolution_backpropagated_decoder_40_300k_pretr_5k_patch_64_crop_align_style_64_skip_4_frl_0.0_norm_rl_1.0_pl_0.1_kl_0.5e-5_autolr_1e-4_div_0.0_spi_400_bs_8_obs_4_res_512.yaml │ ├── autoencoder │ └── 40_tennis_v7_autoencoder_v8_feat_128_bott_3_levels_2_input_augm_pl_0.01_kl_0.000005_bs_20_res_512.yaml │ └── playability │ └── 100_playability_tennis_v7_model_193_dyn_v4_act_v5_discriminator_v7_no_style_action_dir_pred_beta_0.5_rtds_3-256_ganlamb_0.1_dganlamb_1.0_acmv_0.1_dyn_v4_2-256_bs_64_observations_4-4-5-9.yaml ├── data └── tennis_v7_annotation.tar.xz ├── dataset ├── __init__.py ├── acquisition │ ├── minecraft │ │ ├── __init__.py │ │ ├── acquire_replays.py │ │ ├── create_train_test_split_annotations.py │ │ ├── make_fixed_length.py │ │ ├── make_val_test_fixed_length.py │ │ ├── minecraft_annotations │ │ │ └── splits.csv │ │ ├── scripts │ │ │ └── make_minecraft_dataset.sh │ │ ├── splitted_recording.py │ │ └── train_val_test_split.py │ ├── player_detector │ │ ├── __init__.py │ │ └── tennis_player_detector.py │ ├── tennis │ │ ├── __init__.py │ │ ├── add_missing_annotations_7.py │ │ ├── compute_bounding_boxes_3.py │ │ ├── compute_camera_poses_2.py │ │ ├── create_train_val_test_splits_file_5.py │ │ ├── download_youtube_videos_0.py │ │ ├── extract_frames_4.py │ │ ├── extract_sequences_from_youtube_1.py │ │ ├── make_fixed_length_8.py │ │ ├── make_train_val_test_split_6.py │ │ ├── scripts │ │ │ └── download_tennis_v7.sh │ │ └── tennis_annotations │ │ │ ├── tennis_youtube_splits.csv │ │ │ ├── tennis_youtube_splits_annotations.yaml │ │ │ └── tennis_youtube_videos.csv │ └── utils │ │ ├── __init__.py │ │ ├── create_camera_folder.py │ │ ├── remove_camera_folder.py │ │ └── video_fragmenter.py ├── batching.py ├── calibration │ ├── __init__.py │ └── tennis │ │ ├── __init__.py │ │ ├── field_calibrator.py │ │ └── tennis_calibration.py ├── dataset_splitter.py ├── lazy_image.py ├── multicamera_video.py ├── transforms.py ├── utils.py ├── video.py └── video_dataset.py ├── env.yml ├── evaluate_fvd_reconstructed_dataset.py ├── evaluate_reconstructed_camera_manipulation_dataset.py ├── evaluate_reconstructed_dataset.py ├── evaluate_reconstructed_playability_dataset.py ├── evaluation ├── __init__.py ├── action_modifiers │ ├── __init__.py │ └── zero_variation_action_modifier.py ├── autoencoder │ ├── __init__.py │ └── autoencoder_evaluator.py ├── detection │ ├── __init__.py │ ├── coco_eval.py │ ├── coco_utils.py │ ├── engine.py │ ├── group_by_aspect_ratio.py │ ├── multicamera_video_dataset_detection_adapter.py │ ├── object_detector.py │ ├── presets.py │ ├── scripts │ │ ├── __init__.py │ │ └── train_detector.py │ ├── transforms.py │ └── utils.py ├── evaluator.py ├── image_decoder_evaluator.py ├── metrics │ ├── __init__.py │ ├── action_linear_classification.py │ ├── action_variance.py │ ├── detection_metric_2d.py │ ├── fid.py │ ├── fvd.py │ ├── inception_score.py │ ├── incremental_fid.py │ ├── lpips.py │ ├── metrics_accumulator.py │ ├── minecraft_player_detector_2.py │ ├── motion_mask.py │ ├── motion_masked_mse.py │ ├── mse.py │ ├── psnr.py │ ├── ssim.py │ ├── tennis_player_detector.py │ └── vgg_cosine_similarity.py ├── playable_model_evaluator.py ├── plotting │ ├── density_plot.py │ ├── density_plot_2d.py │ ├── density_plot_2d_merged.py │ └── mean_vector_plot_2d.py ├── reconstructed_camera_manipulation_dataset_creator.py ├── reconstructed_dataset_creator.py ├── reconstructed_dataset_evaluator.py ├── reconstructed_dataset_fvd_evaluator.py ├── reconstructed_minecraft_dataset_evaluator.py ├── reconstructed_minecraft_playability_dataset_evaluator.py ├── reconstructed_playability_dataset_creator.py ├── reconstructed_playability_dataset_evaluator.py ├── reconstructed_tennis_dataset_evaluator.py └── reconstructed_tennis_playability_dataset_evaluator.py ├── generate_reconstructed_camera_manipulation_dataset.py ├── generate_reconstructed_dataset.py ├── generate_reconstructed_playability_dataset.py ├── media ├── interactive_sequences.gif └── reconstructions.gif ├── model ├── __init__.py ├── action_network_v5.py ├── annealable_positional_encoder.py ├── autoencoder_models │ ├── __init__.py │ ├── autoencoder_v7.py │ ├── autoencoder_v8.py │ ├── autoencoder_v9.py │ ├── decoder_v5.py │ ├── decoder_v6.py │ ├── decoder_v7.py │ ├── encoder_v3.py │ ├── encoder_v4.py │ ├── encoder_v5.py │ └── layers │ │ ├── __init__.py │ │ ├── cyclegan_resnet_block.py │ │ └── latent_transformations_helper.py ├── classic_object_parameters_encoder.py ├── discriminators │ ├── __init__.py │ └── discriminator_v7.py ├── dynamics_network_v4.py ├── dynamics_network_v9.py ├── environment_model.py ├── environment_model_autoencoder.py ├── environment_model_backpropagated_autoencoder.py ├── environment_model_multiresolution_backpropagated_autoencoder.py ├── environment_model_multiresolution_backpropagated_decoder.py ├── layers │ ├── __init__.py │ ├── adain.py │ ├── adain_sequential.py │ ├── adain_unnormalized.py │ ├── camera_parameters_storage.py │ ├── centroid_estimator.py │ ├── double_convolution.py │ ├── final_block.py │ ├── gumbel_softmax.py │ ├── indexed_storage.py │ ├── masked_avg_pool.py │ ├── masked_batch_norm.py │ ├── masked_sequential.py │ ├── positional_style_encoder.py │ ├── residual_block.py │ ├── rotation_encoder.py │ ├── same_block.py │ ├── style_linear_layer.py │ ├── style_linear_layer_v2.py │ ├── up_block.py │ ├── up_block_unet.py │ └── vgg.py ├── nerf_models │ ├── __init__.py │ ├── adain_style_nerf_model.py │ ├── positional_ray_bender_model.py │ ├── ray_bending_style_nerf_model.py │ ├── skybox_adain_style_nerf_model_v3.py │ └── zeroed_ray_bender_model.py ├── object_animation_model.py ├── object_composer.py ├── object_encoder_v4.py ├── object_encoder_v5.py ├── object_parameters_encoder_v4.py ├── playable_environment_model.py ├── playable_environment_model_discriminator.py ├── playable_environment_model_v2.py ├── positional_encoder.py ├── static_object_parameters_encoder.py └── utils │ ├── __init__.py │ └── object_ids_helper.py ├── play.py ├── pytorch_fid ├── __init__.py ├── fid_score.py └── inception.py ├── train.py ├── train_autoencoder.py ├── train_playable_model.py ├── training ├── __init__.py ├── autoencoder │ ├── __init__.py │ └── autoencoder_trainer.py ├── losses.py ├── playable_model_trainer.py ├── playable_model_trainer_discriminator.py ├── trainer.py ├── trainer_autoencoder.py ├── trainer_backpropagated_autoencoder.py ├── trainer_backpropagated_decoder.py ├── trainer_multiresolution_backpropagated_autoencoder.py └── trainer_multiresolution_backpropagated_decoder.py └── utils ├── __init__.py ├── autoencoder_configuration.py ├── average_meter.py ├── configuration.py ├── dict_wrapper.py ├── drawing ├── __init__.py ├── autoencoder_features_drawer.py ├── bounding_box_drawer.py ├── fonts │ └── Roboto-Regular.ttf ├── image_helper.py ├── text_drawer.py ├── translations_plotter.py └── video_saver.py ├── lib_3d ├── __init__.py ├── bounding_box.py ├── pose_parameters.py ├── ray_helper.py ├── scene_viewer.py ├── transformations_3d.py └── transformations_3d_numpy.py ├── logger.py ├── tensor_batchifier.py ├── tensor_broadcaster.py ├── tensor_displayer.py ├── tensor_folder.py ├── tensor_resizer.py ├── tensor_splitter.py ├── tensor_storage.py ├── time_meter.py └── torch_time_meter.py /LICENSE: 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