├── .gitignore ├── README.md ├── densematcher ├── configs │ ├── mvmatcher_large.yaml │ └── mvmatcher_small.yaml ├── diffusion_net │ ├── __init__.py │ ├── geometry.py │ ├── layers.py │ └── utils.py ├── extractor.py ├── featurizers │ ├── SDDINO.py │ ├── __init__.py │ ├── modules │ │ ├── __init__.py │ │ ├── layers.py │ │ ├── projection_network.py │ │ └── resnet.py │ └── util.py ├── functional_map.py ├── model.py ├── projection.py ├── pyFM │ ├── FMN │ │ ├── FMN.py │ │ └── __init__.py │ ├── __init__.py │ ├── eval │ │ ├── __init__.py │ │ └── evaluate.py │ ├── functional.py │ ├── mesh │ │ ├── __init__.py │ │ ├── data │ │ │ ├── texture_1.jpg │ │ │ └── texture_2.jpg │ │ ├── file_utils.py │ │ ├── geometry.py │ │ ├── laplacian.py │ │ └── trimesh.py │ ├── optimize │ │ ├── __init__.py │ │ └── base_functions.py │ ├── refine │ │ ├── __init__.py │ │ ├── icp.py │ │ └── zoomout.py │ ├── signatures │ │ ├── HKS_functions.py │ │ ├── WKS_functions.py │ │ └── __init__.py │ ├── spectral │ │ ├── __init__.py │ │ ├── convert.py │ │ ├── nn_utils.py │ │ ├── projection_utils.py │ │ └── shape_difference.py │ └── tests │ │ └── test_data.py ├── render.py └── utils.py ├── example.ipynb ├── figs ├── animals.png ├── animals_annotation.png ├── animals_color.png ├── apples.png ├── apples_annotation.png ├── apples_annotation2.png ├── apples_color.png ├── banana-icon.svg └── results.png ├── pre-commit ├── setup.py ├── setup.sh └── third_party ├── Mask2Former ├── .gitignore ├── ADVANCED_USAGE.md ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── GETTING_STARTED.md ├── INSTALL.md ├── LICENSE ├── MODEL_ZOO.md ├── README.md ├── cog.yaml ├── configs │ ├── ade20k │ │ ├── instance-segmentation │ │ │ ├── Base-ADE20K-InstanceSegmentation.yaml │ │ │ ├── maskformer2_R50_bs16_160k.yaml │ │ │ └── swin │ │ │ │ └── maskformer2_swin_large_IN21k_384_bs16_160k.yaml │ │ ├── panoptic-segmentation │ │ │ ├── Base-ADE20K-PanopticSegmentation.yaml │ │ │ ├── maskformer2_R50_bs16_160k.yaml │ │ │ └── swin │ │ │ │ └── maskformer2_swin_large_IN21k_384_bs16_160k.yaml │ │ └── semantic-segmentation │ │ │ ├── Base-ADE20K-SemanticSegmentation.yaml │ │ │ ├── maskformer2_R101_bs16_90k.yaml │ │ │ ├── maskformer2_R50_bs16_160k.yaml │ │ │ └── swin │ │ │ ├── maskformer2_swin_base_384_bs16_160k_res640.yaml │ │ │ ├── maskformer2_swin_base_IN21k_384_bs16_160k_res640.yaml │ │ │ ├── maskformer2_swin_large_IN21k_384_bs16_160k_res640.yaml │ │ │ ├── maskformer2_swin_small_bs16_160k.yaml │ │ │ └── maskformer2_swin_tiny_bs16_160k.yaml │ ├── cityscapes │ │ ├── instance-segmentation │ │ │ ├── Base-Cityscapes-InstanceSegmentation.yaml │ │ │ ├── maskformer2_R101_bs16_90k.yaml │ │ │ ├── maskformer2_R50_bs16_90k.yaml │ │ │ └── swin │ │ │ │ ├── maskformer2_swin_base_IN21k_384_bs16_90k.yaml │ │ │ │ ├── maskformer2_swin_large_IN21k_384_bs16_90k.yaml │ │ │ │ ├── maskformer2_swin_small_bs16_90k.yaml │ │ │ │ └── maskformer2_swin_tiny_bs16_90k.yaml │ │ ├── panoptic-segmentation │ │ │ ├── Base-Cityscapes-PanopticSegmentation.yaml │ │ │ ├── maskformer2_R101_bs16_90k.yaml │ │ │ ├── maskformer2_R50_bs16_90k.yaml │ │ │ └── swin │ │ │ │ ├── maskformer2_swin_base_IN21k_384_bs16_90k.yaml │ │ │ │ ├── maskformer2_swin_large_IN21k_384_bs16_90k.yaml │ │ │ │ ├── maskformer2_swin_small_bs16_90k.yaml │ │ │ │ └── maskformer2_swin_tiny_bs16_90k.yaml │ │ └── semantic-segmentation │ │ │ ├── Base-Cityscapes-SemanticSegmentation.yaml │ │ │ ├── maskformer2_R101_bs16_90k.yaml │ │ │ ├── maskformer2_R50_bs16_90k.yaml │ │ │ └── swin │ │ │ ├── maskformer2_swin_base_IN21k_384_bs16_90k.yaml │ │ │ ├── maskformer2_swin_large_IN21k_384_bs16_90k.yaml │ │ │ ├── maskformer2_swin_small_bs16_90k.yaml │ │ │ └── maskformer2_swin_tiny_bs16_90k.yaml │ ├── coco │ │ ├── instance-segmentation │ │ │ ├── Base-COCO-InstanceSegmentation.yaml │ │ │ ├── maskformer2_R101_bs16_50ep.yaml │ │ │ ├── maskformer2_R50_bs16_50ep.yaml │ │ │ └── swin │ │ │ │ ├── maskformer2_swin_base_384_bs16_50ep.yaml │ │ │ │ ├── maskformer2_swin_base_IN21k_384_bs16_50ep.yaml │ │ │ │ ├── maskformer2_swin_large_IN21k_384_bs16_100ep.yaml │ │ │ │ ├── maskformer2_swin_small_bs16_50ep.yaml │ │ │ │ └── maskformer2_swin_tiny_bs16_50ep.yaml │ │ └── panoptic-segmentation │ │ │ ├── Base-COCO-PanopticSegmentation.yaml │ │ │ ├── maskformer2_R101_bs16_50ep.yaml │ │ │ ├── maskformer2_R50_bs16_50ep.yaml │ │ │ └── swin │ │ │ ├── maskformer2_swin_base_384_bs16_50ep.yaml │ │ │ ├── maskformer2_swin_base_IN21k_384_bs16_50ep.yaml │ │ │ ├── maskformer2_swin_large_IN21k_384_bs16_100ep.yaml │ │ │ ├── maskformer2_swin_small_bs16_50ep.yaml │ │ │ └── maskformer2_swin_tiny_bs16_50ep.yaml │ ├── mapillary-vistas │ │ ├── panoptic-segmentation │ │ │ ├── Base-MapillaryVistas-PanopticSegmentation.yaml │ │ │ ├── maskformer_R50_bs16_300k.yaml │ │ │ └── swin │ │ │ │ └── maskformer2_swin_large_IN21k_384_bs16_300k.yaml │ │ └── semantic-segmentation │ │ │ ├── Base-MapillaryVistas-SemanticSegmentation.yaml │ │ │ ├── maskformer2_R50_bs16_300k.yaml │ │ │ └── swin │ │ │ └── maskformer2_swin_large_IN21k_384_bs16_300k.yaml │ ├── youtubevis_2019 │ │ ├── Base-YouTubeVIS-VideoInstanceSegmentation.yaml │ │ ├── swin │ │ │ ├── video_maskformer2_swin_base_IN21k_384_bs16_8ep.yaml │ │ │ ├── video_maskformer2_swin_large_IN21k_384_bs16_8ep.yaml │ │ │ ├── video_maskformer2_swin_small_bs16_8ep.yaml │ │ │ └── video_maskformer2_swin_tiny_bs16_8ep.yaml │ │ ├── video_maskformer2_R101_bs16_8ep.yaml │ │ └── video_maskformer2_R50_bs16_8ep.yaml │ └── youtubevis_2021 │ │ ├── Base-YouTubeVIS-VideoInstanceSegmentation.yaml │ │ ├── swin │ │ ├── video_maskformer2_swin_base_IN21k_384_bs16_8ep.yaml │ │ ├── video_maskformer2_swin_large_IN21k_384_bs16_8ep.yaml │ │ ├── video_maskformer2_swin_small_bs16_8ep.yaml │ │ └── video_maskformer2_swin_tiny_bs16_8ep.yaml │ │ ├── video_maskformer2_R101_bs16_8ep.yaml │ │ └── video_maskformer2_R50_bs16_8ep.yaml ├── datasets │ ├── README.md │ ├── ade20k_instance_catid_mapping.txt │ ├── ade20k_instance_imgCatIds.json │ ├── prepare_ade20k_ins_seg.py │ ├── prepare_ade20k_pan_seg.py │ ├── prepare_ade20k_sem_seg.py │ └── prepare_coco_semantic_annos_from_panoptic_annos.py ├── demo │ ├── README.md │ ├── demo.py │ └── predictor.py ├── demo_video │ ├── README.md │ ├── demo.py │ ├── predictor.py │ └── visualizer.py ├── mask2former │ ├── __init__.py │ ├── config.py │ ├── data │ │ ├── __init__.py │ │ ├── dataset_mappers │ │ │ ├── __init__.py │ │ │ ├── coco_instance_new_baseline_dataset_mapper.py │ │ │ ├── coco_panoptic_new_baseline_dataset_mapper.py │ │ │ ├── mask_former_instance_dataset_mapper.py │ │ │ ├── mask_former_panoptic_dataset_mapper.py │ │ │ └── mask_former_semantic_dataset_mapper.py │ │ └── datasets │ │ │ ├── __init__.py │ │ │ ├── register_ade20k_full.py │ │ │ ├── register_ade20k_instance.py │ │ │ ├── register_ade20k_panoptic.py │ │ │ ├── register_coco_panoptic_annos_semseg.py │ │ │ ├── register_coco_stuff_10k.py │ │ │ ├── register_mapillary_vistas.py │ │ │ └── register_mapillary_vistas_panoptic.py │ ├── evaluation │ │ ├── __init__.py │ │ └── instance_evaluation.py │ ├── maskformer_model.py │ ├── modeling │ │ ├── __init__.py │ │ ├── backbone │ │ │ ├── __init__.py │ │ │ └── swin.py │ │ ├── criterion.py │ │ ├── matcher.py │ │ ├── meta_arch │ │ │ ├── __init__.py │ │ │ ├── mask_former_head.py │ │ │ └── per_pixel_baseline.py │ │ ├── pixel_decoder │ │ │ ├── __init__.py │ │ │ ├── fpn.py │ │ │ ├── msdeformattn.py │ │ │ └── ops │ │ │ │ ├── __init__.py │ │ │ │ ├── functions │ │ │ │ ├── __init__.py │ │ │ │ └── ms_deform_attn_func.py │ │ │ │ ├── modules │ │ │ │ ├── __init__.py │ │ │ │ └── ms_deform_attn.py │ │ │ │ ├── src │ │ │ │ ├── cpu │ │ │ │ │ ├── ms_deform_attn_cpu.cpp │ │ │ │ │ └── ms_deform_attn_cpu.h │ │ │ │ ├── cuda │ │ │ │ │ ├── ms_deform_attn_cuda.cu │ │ │ │ │ ├── ms_deform_attn_cuda.h │ │ │ │ │ └── ms_deform_im2col_cuda.cuh │ │ │ │ ├── ms_deform_attn.h │ │ │ │ └── vision.cpp │ │ │ │ └── test.py │ │ └── transformer_decoder │ │ │ ├── __init__.py │ │ │ ├── mask2former_transformer_decoder.py │ │ │ ├── maskformer_transformer_decoder.py │ │ │ ├── position_encoding.py │ │ │ └── transformer.py │ ├── test_time_augmentation.py │ └── utils │ │ ├── __init__.py │ │ └── misc.py ├── mask2former_video │ ├── __init__.py │ ├── config.py │ ├── data_video │ │ ├── __init__.py │ │ ├── augmentation.py │ │ ├── build.py │ │ ├── dataset_mapper.py │ │ ├── datasets │ │ │ ├── __init__.py │ │ │ ├── builtin.py │ │ │ ├── ytvis.py │ │ │ └── ytvis_api │ │ │ │ ├── __init__.py │ │ │ │ ├── ytvos.py │ │ │ │ └── ytvoseval.py │ │ └── ytvis_eval.py │ ├── modeling │ │ ├── __init__.py │ │ ├── criterion.py │ │ ├── matcher.py │ │ └── transformer_decoder │ │ │ ├── __init__.py │ │ │ ├── position_encoding.py │ │ │ └── video_mask2former_transformer_decoder.py │ ├── utils │ │ ├── __init__.py │ │ └── memory.py │ └── video_maskformer_model.py ├── predict.py ├── requirements.txt ├── setup.py ├── tools │ ├── README.md │ ├── analyze_model.py │ ├── convert-pretrained-swin-model-to-d2.py │ ├── convert-torchvision-to-d2.py │ ├── evaluate_coco_boundary_ap.py │ └── evaluate_pq_for_semantic_segmentation.py ├── train_net.py └── train_net_video.py ├── ODISE ├── GETTING_STARTED.md ├── LICENSE ├── MANIFEST.in ├── README.md ├── configs │ ├── Panoptic │ │ ├── odise_caption_coco_50e.py │ │ └── odise_label_coco_50e.py │ └── common │ │ ├── data │ │ ├── coco_panoptic_semseg.py │ │ └── pano_open_d2_eval.py │ │ ├── models │ │ ├── mask_generator_with_caption.py │ │ ├── mask_generator_with_label.py │ │ ├── odise_with_caption.py │ │ └── odise_with_label.py │ │ ├── optim.py │ │ ├── schedule.py │ │ └── train.py ├── datasets │ ├── README.md │ ├── ade20k_instance_catid_mapping.txt │ ├── ade20k_instance_imgCatIds.json │ ├── prepare_ade20k_full_sem_seg.py │ ├── prepare_ade20k_ins_seg.py │ ├── prepare_ade20k_pan_seg.py │ ├── prepare_ade20k_sem_seg.py │ ├── prepare_coco_caption.py │ ├── prepare_coco_semantic_annos_from_panoptic_annos.py │ ├── prepare_lvis_openseg_labels.py │ ├── prepare_pascal_ctx_full_sem_seg.py │ ├── prepare_pascal_ctx_sem_seg.py │ └── prepare_pascal_voc_sem_seg.py ├── demo │ ├── app.py │ ├── demo.ipynb │ ├── demo.py │ └── examples │ │ └── purse.jpeg ├── docker │ └── Dockerfile ├── odise │ ├── __init__.py │ ├── checkpoint │ │ ├── __init__.py │ │ └── odise_checkpointer.py │ ├── config │ │ ├── __init__.py │ │ ├── instantiate.py │ │ └── utils.py │ ├── data │ │ ├── __init__.py │ │ ├── build.py │ │ ├── dataset_mapper.py │ │ └── datasets │ │ │ ├── __init__.py │ │ │ ├── openseg_labels │ │ │ ├── README.md │ │ │ ├── ade20k_150.txt │ │ │ ├── ade20k_150_with_prompt_eng.txt │ │ │ ├── ade20k_847.txt │ │ │ ├── ade20k_847_with_prompt_eng.txt │ │ │ ├── coco_panoptic.txt │ │ │ ├── coco_panoptic_with_prompt_eng.txt │ │ │ ├── lvis_1203.txt │ │ │ ├── lvis_1203_with_prompt_eng.txt │ │ │ ├── pascal_context_459.txt │ │ │ ├── pascal_context_459_with_prompt_eng.txt │ │ │ ├── pascal_context_59.txt │ │ │ ├── pascal_context_59_with_prompt_eng.txt │ │ │ ├── pascal_voc_21.txt │ │ │ └── pascal_voc_21_with_prompt_eng.txt │ │ │ ├── register_coco_caption.py │ │ │ └── register_pascal.py │ ├── engine │ │ ├── __init__.py │ │ ├── defaults.py │ │ ├── hooks.py │ │ └── train_loop.py │ ├── evaluation │ │ ├── __init__.py │ │ ├── d2_evaluator.py │ │ └── evaluator.py │ ├── model_zoo │ │ ├── __init__.py │ │ ├── configs │ │ └── model_zoo.py │ ├── modeling │ │ ├── __init__.py │ │ ├── backbone │ │ │ ├── __init__.py │ │ │ └── feature_extractor.py │ │ ├── diffusion │ │ │ ├── __init__.py │ │ │ ├── diffusion_builder.py │ │ │ ├── gaussian_diffusion.py │ │ │ ├── resample.py │ │ │ └── respace.py │ │ ├── meta_arch │ │ │ ├── __init__.py │ │ │ ├── clip.py │ │ │ ├── helper.py │ │ │ ├── ldm.py │ │ │ └── odise.py │ │ ├── preprocess.py │ │ └── wrapper │ │ │ ├── __init__.py │ │ │ └── pano_wrapper.py │ └── utils │ │ ├── __init__.py │ │ ├── collect_env.py │ │ ├── events.py │ │ ├── file_io.py │ │ └── parameter_count.py ├── setup.cfg ├── setup.py └── tools │ └── train_net.py ├── dift ├── dift │ ├── models │ │ └── dift_sd.py │ └── utils │ │ ├── visualization.py │ │ ├── visualization2.py │ │ └── visualization3.py └── setup.py ├── featup ├── featup │ ├── __init__.py │ ├── adaptive_conv_cuda │ │ ├── __init__.py │ │ ├── adaptive_conv.cpp │ │ ├── adaptive_conv.py │ │ ├── adaptive_conv_cuda.cpp │ │ └── adaptive_conv_kernel.cu │ ├── configs │ │ └── jbu_upsampler.yaml │ ├── datasets │ │ ├── COCO.py │ │ ├── DAVIS.py │ │ ├── EmbeddingFile.py │ │ ├── HighResEmbs.py │ │ ├── ImageNetSubset.py │ │ ├── JitteredImage.py │ │ ├── SampleImage.py │ │ ├── __init__.py │ │ └── util.py │ ├── downsamplers.py │ ├── layers.py │ ├── losses.py │ ├── model_utils │ │ ├── corr_map_model.py │ │ ├── extractor_dino.py │ │ ├── extractor_sd.py │ │ └── preprocess.py │ ├── plotting.py │ ├── train_implicit_upsampler.py │ ├── train_jbu_upsampler.py │ ├── train_probes.py │ ├── upsamplers.py │ └── util.py └── setup.py ├── meshplot ├── .gitignore ├── LICENSE ├── README.md ├── docs │ ├── exporter.py │ ├── index.md │ ├── meshplot_docs.md │ ├── plot_to_md.py │ └── tutorial.ipynb ├── environment.yml ├── examples │ ├── data.npz │ └── tutorial.ipynb ├── meshplot │ ├── Viewer.py │ ├── __init__.py │ ├── plot.py │ └── utils.py ├── mkdocs.yml └── setup.py └── stablediffusion ├── ldm ├── __init__.py ├── data │ ├── __init__.py │ └── util.py ├── models │ ├── __init__.py │ ├── autoencoder.py │ └── diffusion │ │ ├── __init__.py │ │ ├── ddim.py │ │ ├── ddpm.py │ │ ├── dpm_solver │ │ ├── __init__.py │ │ ├── dpm_solver.py │ │ └── sampler.py │ │ ├── plms.py │ │ └── sampling_util.py ├── modules │ ├── __init__.py │ ├── attention.py │ ├── diffusionmodules │ │ ├── __init__.py │ │ ├── model.py │ │ ├── openaimodel.py │ │ ├── upscaling.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_image.py │ └── midas │ │ ├── __init__.py │ │ 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