├── .github ├── ISSUE_TEMPLATE │ ├── bug_report.yaml │ └── feature_request.md └── workflows │ └── python-publish.yml ├── LICENSE ├── activation.py ├── assets ├── car.gif ├── car_IPs.png ├── car_s1.gif ├── castle1.gif ├── castle2.gif ├── castle_IPs.png ├── castle_s1.gif ├── shoe1.gif ├── shoe2.gif ├── shoe_IPs.png └── shoe_s1.gif ├── config ├── anya.csv ├── car.csv └── corgi.csv ├── data └── scribble_sample │ ├── castle │ ├── castle1 │ │ └── reference.png │ ├── castle2 │ │ └── reference.png │ └── v1.png │ ├── shoe │ ├── shoe1 │ │ └── reference.png │ ├── shoe2 │ │ └── reference.png │ └── v1.png │ └── sushi_car │ ├── v1.png │ └── v2.png ├── docker ├── Dockerfile └── README.md ├── dpt.py ├── encoding.py ├── evaluation ├── Prompt.py ├── mesh_to_video.py ├── r_precision.py └── readme.md ├── freqencoder ├── __init__.py ├── backend.py ├── freq.py ├── setup.py └── src │ ├── bindings.cpp │ ├── freqencoder.cu │ └── freqencoder.h ├── gridencoder ├── __init__.py ├── backend.py ├── grid.py ├── setup.py └── src │ ├── bindings.cpp │ ├── gridencoder.cu │ └── gridencoder.h ├── guidance ├── clip_utils.py ├── if_utils.py ├── ip_adapter │ ├── __init__.py │ ├── attention_processor.py │ ├── img2img_pipline.py │ ├── ip_adapter.py │ └── utils.py ├── ip_adapter_utils.py ├── sd_utils.py └── zero123_utils.py ├── ldm ├── extras.py ├── guidance.py ├── lr_scheduler.py ├── models │ ├── autoencoder.py │ └── diffusion │ │ ├── __init__.py │ │ ├── classifier.py │ │ ├── ddim.py │ │ ├── ddpm.py │ │ ├── plms.py │ │ └── sampling_util.py ├── modules │ ├── attention.py │ ├── diffusionmodules │ │ ├── __init__.py │ │ ├── model.py │ │ ├── openaimodel.py │ │ └── util.py │ ├── distributions │ │ ├── __init__.py │ │ └── distributions.py │ ├── ema.py │ ├── encoders │ │ ├── __init__.py │ │ └── modules.py │ ├── evaluate │ │ ├── adm_evaluator.py │ │ ├── evaluate_perceptualsim.py │ │ ├── frechet_video_distance.py │ │ ├── ssim.py │ │ └── torch_frechet_video_distance.py │ ├── image_degradation │ │ ├── __init__.py │ │ ├── bsrgan.py │ │ ├── bsrgan_light.py │ │ ├── utils │ │ │ └── test.png │ │ └── utils_image.py │ ├── losses │ │ ├── __init__.py │ │ ├── contperceptual.py │ │ └── vqperceptual.py │ └── x_transformer.py ├── thirdp │ └── psp │ │ ├── helpers.py │ │ ├── id_loss.py │ │ └── model_irse.py └── util.py ├── main_v1.py ├── meshutils.py ├── midas ├── backbones │ ├── README.md │ ├── beit.py │ ├── levit.py │ ├── next_vit.py │ ├── swin.py │ ├── swin2.py │ ├── swin_common.py │ ├── utils.py │ └── vit.py ├── base_model.py ├── blocks.py ├── dpt_depth.py ├── midas_net.py ├── midas_net_custom.py ├── model_loader.py └── transforms.py ├── nerf ├── gui.py ├── network.py ├── network_grid.py ├── network_grid_taichi.py ├── network_grid_tcnn.py ├── provider.py ├── renderer.py ├── utils.py └── utils_ip_adapter_v1.py ├── obtain_IPadapter_image.py ├── optimizer.py ├── preprocess_image.py ├── pretrained └── zero123 │ └── sd-objaverse-finetune-c_concat-256.yaml ├── raymarching ├── __init__.py ├── backend.py ├── raymarching.py ├── setup.py └── src │ ├── bindings.cpp │ ├── raymarching.cu │ └── raymarching.h ├── readme.md ├── requirements.txt ├── scripts ├── install_ext.sh ├── res64.args ├── run.sh ├── run2.sh ├── run3.sh ├── run4.sh ├── run5.sh ├── run6.sh ├── run_if.sh ├── run_if2.sh ├── run_image.sh ├── run_image_anya.sh ├── run_image_hard_examples.sh ├── run_image_procedure.sh ├── run_image_text.sh └── run_images.sh ├── shencoder ├── __init__.py ├── backend.py ├── setup.py ├── sphere_harmonics.py └── src │ ├── bindings.cpp │ ├── shencoder.cu │ └── shencoder.h ├── taichi_modules ├── __init__.py ├── hash_encoder.py ├── intersection.py ├── ray_march.py ├── utils.py ├── volume_render_test.py └── volume_train.py ├── test_v1.py └── tets ├── 128_tets.npz ├── 32_tets.npz ├── 64_tets.npz ├── README.md └── generate_tets.py /.github/ISSUE_TEMPLATE/bug_report.yaml: -------------------------------------------------------------------------------- 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