├── .gitignore ├── ATISS ├── LICENSE ├── README.md ├── config │ ├── bedroom_threed_front_splits.csv │ ├── bedroom_threed_front_splits_new.csv │ ├── bedroom_threed_front_splits_regular.csv │ ├── bedrooms_config.yaml │ ├── bedrooms_eval_config.yaml │ ├── black_list.txt │ ├── dining_rooms_config.yaml │ ├── dining_rooms_eval_config.yaml │ ├── diningroom_threed_front_splits.csv │ ├── invalid_threed_front_rooms.txt │ ├── libraries_config.yaml │ ├── libraries_eval_config.yaml │ ├── library_threed_front_splits.csv │ ├── living_rooms_config.yaml │ ├── living_rooms_eval_config.yaml │ ├── livingroom_threed_front_splits.csv │ ├── livingroom_threed_front_splits_new.csv │ └── livingroom_threed_front_splits_regular.csv ├── demo │ ├── floor_00003.jpg │ ├── floor_plan_texture_images │ │ ├── floor_00001.jpg │ │ ├── floor_00002.jpg │ │ ├── floor_00003.jpg │ │ ├── floor_00004.jpg │ │ ├── floor_00005.jpg │ │ ├── floor_00006.jpg │ │ └── floor_00007.jpg │ └── floor_plan_texture_images_references ├── environment.yaml ├── img │ ├── room_1.gif │ ├── room_2.gif │ └── room_3.gif ├── scene_synthesis │ ├── __init__.py │ ├── datasets │ │ ├── __init__.py │ │ ├── base.py │ │ ├── common.py │ │ ├── splits_builder.py │ │ ├── threed_front.py │ │ ├── threed_front_dataset.py │ │ ├── threed_front_scene.py │ │ ├── threed_future_dataset.py │ │ └── utils.py │ ├── losses │ │ ├── __init__.py │ │ └── mmd.py │ ├── networks │ │ ├── __init__.py │ │ ├── autoregressive_transformer.py │ │ ├── base.py │ │ ├── bbox_output.py │ │ ├── feature_extractors.py │ │ ├── frozen_batchnorm.py │ │ └── hidden_to_output.py │ ├── stats_logger.py │ └── utils.py ├── scripts │ ├── compute_fid_scores.py │ ├── evaluate_kl_divergence_object_category.py │ ├── failure_correction.py │ ├── generate_scenes.py │ ├── object_suggestions.py │ ├── pickle_threed_future_dataset.py │ ├── preprocess_data.py │ ├── render_from_files.py │ ├── render_threedfront_scene.py │ ├── render_with_blender.py │ ├── scene_completion.py │ ├── synthetic_vs_real_classifier.py │ ├── train_network.py │ ├── training_utils.py │ └── utils.py └── setup.py ├── LICENSE ├── README.md ├── assets ├── 10043.gif ├── 13439.gif ├── 152170.gif ├── 2050.gif ├── 28445.gif ├── 326.gif ├── 863.gif ├── 9583.gif └── teaser.jpg ├── dataset ├── 3D │ ├── bedroom_splits.json │ └── livingroom_splits.json └── NSR-1K │ ├── counting │ ├── counting.train.json │ ├── counting.val.json │ └── train.counting.vit-l-14.visual.npz │ └── spatial │ ├── spatial.train.json │ ├── spatial.val.json │ └── train.spatial.vit-l-14.visual.npz ├── environment.yml ├── eval_counting_layout.py ├── eval_models └── GLIP │ ├── CODE_OF_CONDUCT.md │ ├── DATA.md │ ├── LICENSE │ ├── README.md │ ├── SECURITY.md │ ├── SUPPORT.md │ ├── configs │ ├── flickr │ │ ├── test.yaml │ │ └── val.yaml │ ├── lvis │ │ ├── minival.yaml │ │ └── val.yaml │ ├── odinw_13 │ │ ├── AerialMaritimeDrone_large.yaml │ │ ├── Aquarium_Aquarium_Combined.v2-raw-1024.coco.yaml │ │ ├── CottontailRabbits.yaml │ │ ├── EgoHands_generic.yaml │ │ ├── NorthAmericaMushrooms_North_American_Mushrooms.v1-416x416.coco.yaml │ │ ├── Packages_Raw.yaml │ │ ├── PascalVOC.yaml │ │ ├── Raccoon_Raccoon.v2-raw.coco.yaml │ │ ├── ShellfishOpenImages_raw.yaml │ │ ├── VehiclesOpenImages_416x416.yaml │ │ ├── pistols_export.yaml │ │ ├── pothole.yaml │ │ └── thermalDogsAndPeople.yaml │ ├── odinw_35 │ │ ├── AerialMaritimeDrone_large.yaml │ │ ├── AerialMaritimeDrone_tiled.yaml │ │ ├── AmericanSignLanguageLetters_American_Sign_Language_Letters.v1-v1.coco.yaml │ │ ├── Aquarium_Aquarium_Combined.v2-raw-1024.coco.yaml │ │ ├── BCCD_BCCD.v3-raw.coco.yaml │ │ ├── ChessPieces_Chess_Pieces.v23-raw.coco.yaml │ │ ├── CottontailRabbits.yaml │ │ ├── DroneControl_Drone_Control.v3-raw.coco.yaml │ │ ├── EgoHands_generic.yaml │ │ ├── EgoHands_specific.yaml │ │ ├── HardHatWorkers_raw.yaml │ │ ├── MaskWearing_raw.yaml │ │ ├── MountainDewCommercial.yaml │ │ ├── NorthAmericaMushrooms_North_American_Mushrooms.v1-416x416.coco.yaml │ │ ├── OxfordPets_by-breed.yaml │ │ ├── OxfordPets_by-species.yaml │ │ ├── PKLot_640.yaml │ │ ├── Packages_Raw.yaml │ │ ├── PascalVOC.yaml │ │ ├── Raccoon_Raccoon.v2-raw.coco.yaml │ │ ├── ShellfishOpenImages_raw.yaml │ │ ├── ThermalCheetah.yaml │ │ ├── UnoCards_raw.yaml │ │ ├── VehiclesOpenImages_416x416.yaml │ │ ├── WildfireSmoke.yaml │ │ ├── _all.json │ │ ├── boggleBoards_416x416AutoOrient_export_.yaml │ │ ├── brackishUnderwater_960x540.yaml │ │ ├── dice_mediumColor_export.yaml │ │ ├── openPoetryVision_512x512.yaml │ │ ├── pistols_export.yaml │ │ ├── plantdoc_100x100.yaml │ │ ├── plantdoc_416x416.yaml │ │ ├── pothole.yaml │ │ ├── selfdrivingCar_fixedLarge_export_.yaml │ │ ├── thermalDogsAndPeople.yaml │ │ └── websiteScreenshots.yaml │ └── pretrain │ │ ├── _coco.yaml │ │ ├── glip_A_Swin_T_O365.yaml │ │ ├── glip_Swin_L.yaml │ │ ├── glip_Swin_T_O365.yaml │ │ └── glip_Swin_T_O365_GoldG.yaml │ ├── eval_counting.py │ ├── eval_spatial.py │ ├── knowledge │ ├── odinw_benchmark35_knowledge_and_gpt3.yaml │ ├── odinw_knowledge.yaml │ ├── odinw_knowledge_with_prompt.yaml │ └── run_inference_odinw_knowledge_benchmark35.yaml │ ├── maskrcnn_benchmark │ ├── __init__.py │ ├── config │ │ ├── __init__.py │ │ ├── defaults.py │ │ └── paths_catalog.py │ ├── csrc │ │ ├── ROIAlign.h │ │ ├── ROIPool.h │ │ ├── SigmoidFocalLoss.h │ │ ├── cpu │ │ │ ├── ROIAlign_cpu.cpp │ │ │ ├── nms_cpu.cpp │ │ │ ├── soft_nms.cpp │ │ │ └── vision.h │ │ ├── cuda │ │ │ ├── ROIAlign_cuda.cu │ │ │ ├── ROIPool_cuda.cu │ │ │ ├── SigmoidFocalLoss_cuda.cu │ │ │ ├── deform_conv_cuda.cu │ │ │ ├── deform_conv_kernel_cuda.cu │ │ │ ├── deform_pool_cuda.cu │ │ │ ├── deform_pool_kernel_cuda.cu │ │ │ ├── ml_nms.cu │ │ │ ├── nms.cu │ │ │ └── vision.h │ │ ├── deform_conv.h │ │ ├── deform_pool.h │ │ ├── ml_nms.h │ │ ├── nms.h │ │ └── vision.cpp │ ├── data │ │ ├── __init__.py │ │ ├── build.py │ │ ├── collate_batch.py │ │ ├── datasets │ │ │ ├── __init__.py │ │ │ ├── background.py │ │ │ ├── box_label_loader.py │ │ │ ├── caption.py │ │ │ ├── coco.py │ │ │ ├── coco_dt.py │ │ │ ├── concat_dataset.py │ │ │ ├── custom_distributed_sampler.py │ │ │ ├── duplicate_dataset.py │ │ │ ├── evaluation │ │ │ │ ├── __init__.py │ │ │ │ ├── box_aug.py │ │ │ │ ├── coco │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── coco_eval.py │ │ │ │ ├── flickr │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── flickr_eval.py │ │ │ │ ├── lvis │ │ │ │ │ ├── _change_lvis_annotation.py │ │ │ │ │ ├── lvis.py │ │ │ │ │ └── lvis_eval.py │ │ │ │ ├── od_eval.py │ │ │ │ ├── od_to_grounding │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── od_eval.py │ │ │ │ ├── vg │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── vg_eval.py │ │ │ │ └── voc │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── voc_eval.py │ │ │ ├── flickr.py │ │ │ ├── gqa.py │ │ │ ├── imagenet.py │ │ │ ├── list_dataset.py │ │ │ ├── lvis.py │ │ │ ├── mixed.py │ │ │ ├── mixup.py │ │ │ ├── modulated_coco.py │ │ │ ├── object365.py │ │ │ ├── od_to_grounding.py │ │ │ ├── phrasecut.py │ │ │ ├── pseudo_data.py │ │ │ ├── refexp.py │ │ │ ├── tsv.py │ │ │ ├── vg.py │ │ │ └── voc.py │ │ ├── samplers │ │ │ ├── __init__.py │ │ │ ├── distributed.py │ │ │ ├── grouped_batch_sampler.py │ │ │ └── iteration_based_batch_sampler.py │ │ └── transforms │ │ │ ├── __init__.py │ │ │ ├── build.py │ │ │ └── transforms.py │ ├── engine │ │ ├── __init__.py │ │ ├── alter_trainer.py │ │ ├── evolution.py │ │ ├── inference.py │ │ ├── predictor.py │ │ ├── predictor_glip.py │ │ ├── singlepath_trainer.py │ │ ├── stage_trainer.py │ │ └── trainer.py │ ├── layers │ │ ├── __init__.py │ │ ├── batch_norm.py │ │ ├── deform_conv.py │ │ ├── deform_pool.py │ │ ├── dropblock.py │ │ ├── dyhead.py │ │ ├── dyrelu.py │ │ ├── evonorm.py │ │ ├── iou_loss.py │ │ ├── misc.py │ │ ├── nms.py │ │ ├── roi_align.py │ │ ├── roi_pool.py │ │ ├── se.py │ │ ├── set_loss.py │ │ ├── sigmoid_focal_loss.py │ │ └── smooth_l1_loss.py │ ├── modeling │ │ ├── .DS_Store │ │ ├── __init__.py │ │ ├── backbone │ │ │ ├── __init__.py │ │ │ ├── bifpn.py │ │ │ ├── blocks.py │ │ │ ├── efficientdet.py │ │ │ ├── efficientnet.py │ │ │ ├── fbnet.py │ │ │ ├── fpn.py │ │ │ ├── mixer.py │ │ │ ├── ops.py │ │ │ ├── resnet.py │ │ │ ├── swint.py │ │ │ ├── swint_v2.py │ │ │ ├── swint_v2_vl.py │ │ │ └── swint_vl.py │ │ ├── balanced_positive_negative_sampler.py │ │ ├── box_coder.py │ │ ├── detector │ │ │ ├── __init__.py │ │ │ ├── generalized_rcnn.py │ │ │ └── generalized_vl_rcnn.py │ │ ├── language_backbone │ │ │ ├── __init__.py │ │ │ ├── backbone.py │ │ │ ├── bert_model.py │ │ │ ├── bpe_simple_vocab_16e6.txt.gz │ │ │ ├── build.py │ │ │ ├── clip_model.py │ │ │ ├── hfpt_tokenizer.py │ │ │ ├── rnn_model.py │ │ │ ├── simple_tokenizer.py │ │ │ ├── test_clip_tokenizer.py │ │ │ └── word_utils.py │ │ ├── make_layers.py │ │ ├── matcher.py │ │ ├── poolers.py │ │ ├── registry.py │ │ ├── roi_heads │ │ │ ├── __init__.py │ │ │ ├── box_head │ │ │ │ ├── __init__.py │ │ │ │ ├── box_head.py │ │ │ │ ├── inference.py │ │ │ │ ├── loss.py │ │ │ │ ├── roi_box_feature_extractors.py │ │ │ │ └── roi_box_predictors.py │ │ │ ├── keypoint_head │ │ │ │ ├── inference.py │ │ │ │ ├── keypoint_head.py │ │ │ │ ├── loss.py │ │ │ │ ├── roi_keypoint_feature_extractors.py │ │ │ │ └── roi_keypoint_predictors.py │ │ │ └── mask_head │ │ │ │ ├── __init__.py │ │ │ │ ├── hourglass.py │ │ │ │ ├── inference.py │ │ │ │ ├── loss.py │ │ │ │ ├── mask_head.py │ │ │ │ ├── roi_mask_feature_extractors.py │ │ │ │ └── roi_mask_predictors.py │ │ ├── rpn │ │ │ ├── __init__.py │ │ │ ├── anchor_generator.py │ │ │ ├── atss.py │ │ │ ├── dyhead.py │ │ │ ├── fcos.py │ │ │ ├── inference.py │ │ │ ├── loss.py │ │ │ ├── modeling_bert.py │ │ │ ├── retina.py │ │ │ ├── rpn.py │ │ │ ├── transformer.py │ │ │ └── vldyhead.py │ │ └── utils.py │ ├── solver │ │ ├── __init__.py │ │ ├── build.py │ │ └── lr_scheduler.py │ ├── structures │ │ ├── __init__.py │ │ ├── bounding_box.py │ │ ├── boxlist_ops.py │ │ ├── image_list.py │ │ ├── keypoint.py │ │ └── segmentation_mask.py │ └── utils │ │ ├── README.md │ │ ├── __init__.py │ │ ├── amp.py │ │ ├── big_model_loading.py │ │ ├── c2_model_loading.py │ │ ├── checkpoint.py │ │ ├── collect_env.py │ │ ├── comm.py │ │ ├── cv2_util.py │ │ ├── dist.py │ │ ├── ema.py │ │ ├── env.py │ │ ├── flops.py │ │ ├── fuse_helper.py │ │ ├── imports.py │ │ ├── logger.py │ │ ├── mdetr_dist.py │ │ ├── metric_logger.py │ │ ├── miscellaneous.py │ │ ├── model_serialization.py │ │ ├── model_zoo.py │ │ ├── pretrain_model_loading.py │ │ ├── registry.py │ │ ├── shallow_contrastive_loss_helper.py │ │ └── stats.py │ ├── setup.py │ └── tools │ ├── cityscapes │ ├── convert_cityscapes_to_coco.py │ └── instances2dict_with_polygons.py │ ├── eval_all.py │ ├── finetune.py │ ├── test_grounding_net.py │ ├── test_net.py │ ├── train_net.py │ └── visualize_grounding_net.py ├── eval_scene_layout.py ├── eval_spatial_layout.py ├── gligen ├── configs │ ├── coco2017K.yaml │ ├── flickr_text.yaml │ └── flickr_text_image.yaml ├── dataset │ ├── __init__.py │ ├── base_dataset.py │ ├── base_dataset_kp.py │ ├── catalog.py │ ├── concat_dataset.py │ ├── dataset_kp.py │ ├── tsv.py │ ├── tsv_dataset.py │ └── utils.py ├── distributed.py ├── env_docker │ └── Dockerfile ├── gligen_inference.py ├── gligen_layout_counting.py ├── gligen_layout_spatial.py ├── grounding_input │ ├── __init__.py │ ├── keypoint_grounding_tokinzer_input.py │ ├── text_grounding_tokinzer_input.py │ └── text_image_grounding_tokinzer_input.py ├── inpaint_mask_func.py ├── ldm │ ├── data │ │ ├── __init__.py │ │ ├── base.py │ │ ├── imagenet.py │ │ ├── imagenet_clsidx_to_label.txt │ │ ├── imagenet_train_hr_indices.p │ │ ├── imagenet_val_hr_indices.p │ │ ├── index_synset.yaml │ │ └── lsun.py │ ├── lr_scheduler.py │ ├── models │ │ ├── autoencoder.py │ │ └── diffusion │ │ │ ├── __init__.py │ │ │ ├── classifier.py │ │ │ ├── ddim.py │ │ │ ├── ddpm.py │ │ │ ├── ldm.py │ │ │ └── plms.py │ ├── modules │ │ ├── attention.py │ │ ├── diffusionmodules │ │ │ ├── __init__.py │ │ │ ├── keypoint_grounding_net.py │ │ │ ├── model.py │ │ │ ├── openaimodel.py │ │ │ ├── text_grounding_net.py │ │ │ ├── text_image_grounding_net.py │ │ │ └── util.py │ │ ├── distributions │ │ │ ├── __init__.py │ │ │ └── distributions.py │ │ ├── ema.py │ │ ├── encoders │ │ │ ├── __init__.py │ │ │ ├── modules.py │ │ │ └── modules_backup.py │ │ ├── image_degradation │ │ │ ├── __init__.py │ │ │ ├── bsrgan.py │ │ │ ├── bsrgan_light.py │ │ │ └── utils_image.py │ │ ├── losses │ │ │ ├── __init__.py │ │ │ ├── contperceptual.py │ │ │ └── vqperceptual.py │ │ └── x_transformer.py │ └── util.py ├── main.py ├── projection_matrix └── trainer.py ├── llm_output ├── 3D │ ├── gpt4.bedroom.k-similar.k_8.px_regular.json │ └── gpt4.livingroom.k-similar.k_4.px_regular.json ├── counting │ ├── gpt4.counting.k-similar.k_8.px_64.json │ └── llama-13b.counting.k-similar.k_8.px_256.json └── spatial │ ├── gpt4.spatial.k-similar.k_8.px_64.json │ └── llama-13b.spatial.k-similar.k_8.px_256.json ├── parse_llm_output.py ├── requirements.txt ├── 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