├── .gitignore ├── LICENSE ├── README.md ├── blensor_script_template.py ├── dataset_for_deepsdf.py ├── datasets ├── abc_minimal │ ├── 03_meshes │ │ ├── 00011084_fddd53ce45f640f3ab922328_trimesh_019.ply │ │ ├── 00016513_3d6966cd42eb44ab8f4224f2_trimesh_053.ply │ │ └── 00994122_57d9d4755722f9d2d7436f0a_trimesh_000.ply │ ├── 04_pts │ │ ├── 00011084_fddd53ce45f640f3ab922328_trimesh_019.xyz.npy │ │ ├── 00016513_3d6966cd42eb44ab8f4224f2_trimesh_053.xyz.npy │ │ └── 00994122_57d9d4755722f9d2d7436f0a_trimesh_000.xyz.npy │ ├── 04_pts_vis │ │ ├── 00011084_fddd53ce45f640f3ab922328_trimesh_019.xyz │ │ ├── 00016513_3d6966cd42eb44ab8f4224f2_trimesh_053.xyz │ │ └── 00994122_57d9d4755722f9d2d7436f0a_trimesh_000.xyz │ ├── 05_query_dist │ │ ├── 00011084_fddd53ce45f640f3ab922328_trimesh_019.ply.npy │ │ ├── 00016513_3d6966cd42eb44ab8f4224f2_trimesh_053.ply.npy │ │ └── 00994122_57d9d4755722f9d2d7436f0a_trimesh_000.ply.npy │ ├── 05_query_pts │ │ ├── 00011084_fddd53ce45f640f3ab922328_trimesh_019.ply.npy │ │ ├── 00016513_3d6966cd42eb44ab8f4224f2_trimesh_053.ply.npy │ │ └── 00994122_57d9d4755722f9d2d7436f0a_trimesh_000.ply.npy │ ├── 05_query_vis │ │ ├── 00011084_fddd53ce45f640f3ab922328_trimesh_019.ply.ply │ │ ├── 00016513_3d6966cd42eb44ab8f4224f2_trimesh_053.ply.ply │ │ └── 00994122_57d9d4755722f9d2d7436f0a_trimesh_000.ply.ply │ ├── settings.ini │ ├── testset.txt │ ├── trainset.txt │ └── valset.txt ├── download_datasets_abc.py ├── download_datasets_abc_training.py ├── download_datasets_famous.py ├── download_datasets_real_world.py └── download_datasets_thingi10k.py ├── eval_dataset.py ├── experiments ├── eval_p2s_large_kNN.sh ├── eval_p2s_large_radius.sh ├── eval_p2s_max.sh ├── eval_p2s_medium_radius.sh ├── eval_p2s_no_qstn.sh ├── eval_p2s_regression.sh ├── eval_p2s_shared_encoder.sh ├── eval_p2s_shared_transformer.sh ├── eval_p2s_small_kNN.sh ├── eval_p2s_small_radius.sh ├── eval_p2s_uniform.sh ├── eval_p2s_vanilla.sh ├── eval_p2s_vanilla_ablation.sh ├── train_p2s_large_kNN.sh ├── train_p2s_large_radius.sh ├── train_p2s_max.sh ├── train_p2s_medium_radius.sh ├── train_p2s_no_qstn.sh ├── train_p2s_regression.sh ├── train_p2s_shared_encoder.sh ├── train_p2s_shared_transformer.sh ├── train_p2s_small_kNN.sh ├── train_p2s_small_radius.sh ├── train_p2s_uniform.sh ├── train_p2s_vanilla.sh ├── train_p2s_vanilla_ablation.sh ├── train_p2s_vanilla_lower_lr.sh └── train_p2s_vanilla_uniform_subsample.sh ├── full_eval.py ├── full_run.py ├── full_train.py ├── hole_filling_mesh_simp.mlx ├── images └── teaser.png ├── make_dataset.py ├── make_pc_dataset.py ├── models ├── download_models_ablation.py ├── download_models_max.py └── download_models_vanilla.py ├── normals_poisson.mlx ├── p2s.yml ├── poisson.mlx ├── requirements.txt ├── source ├── __init__.py ├── base │ ├── __init__.py │ ├── evaluation.py │ ├── file_utils.py │ ├── mesh_io.py │ ├── parula_colormap.py │ ├── point_cloud.py │ ├── utils.py │ └── utils_mp.py ├── data_loader.py ├── figure │ ├── __init__.py │ ├── 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