├── .gitmodules ├── README.md ├── cal_3dmm_distance.py ├── calc_metrics.py ├── camera_utils.py ├── data └── demo │ ├── demo.obj │ ├── demo_kpt2d.txt │ └── landmarks2d_02.pt ├── data_preprocessing.py ├── dataset_preprocessing ├── afhq │ ├── preprocess_afhq_cameras.py │ └── runme.py ├── ffhq │ ├── 3dface2idr_mat.py │ ├── align_multiprocess.py │ ├── batch_mtcnn.py │ ├── crop_images.py │ ├── crop_images_in_the_wild.py │ ├── deca │ │ ├── decalib │ │ │ ├── __init__.py │ │ │ ├── datasets │ │ │ │ ├── aflw2000.py │ │ │ │ ├── build_datasets.py │ │ │ │ ├── datasets.py │ │ │ │ ├── detectors.py │ │ │ │ ├── ethnicity.py │ │ │ │ ├── now.py │ │ │ │ ├── train_datasets.py │ │ │ │ ├── vggface.py │ │ │ │ └── vox.py │ │ │ ├── deca.py │ │ │ ├── models │ │ │ │ ├── FLAME.py │ │ │ │ ├── decoders.py │ │ │ │ ├── encoders.py │ │ │ │ ├── frnet.py │ │ │ │ ├── lbs.py │ │ │ │ └── resnet.py │ │ │ ├── trainer.py │ │ │ └── utils │ │ │ │ ├── config.py │ │ │ │ ├── lossfunc.py │ │ │ │ ├── rasterizer │ │ │ │ ├── INSTALL.md │ │ │ │ ├── __init__.py │ │ │ │ ├── setup.py │ │ │ │ ├── standard_rasterize_cuda.cpp │ │ │ │ └── standard_rasterize_cuda_kernel.cu │ │ │ │ ├── renderer.py │ │ │ │ ├── rotation_converter.py │ │ │ │ ├── tensor_cropper.py │ │ │ │ ├── trainer.py │ │ │ │ └── util.py │ │ └── demo_reconstruct.py │ ├── download_ffhq.py │ ├── faceverse │ │ ├── data_reader.py │ │ ├── faceverse_cuda │ │ │ ├── FaceVerseModel.py │ │ │ ├── __init__.py │ │ │ ├── losses.py │ │ │ ├── rasterizer.py │ │ │ ├── rasterizer_cuda.py │ │ │ ├── renderer.py │ │ │ └── transform.py │ │ ├── fit_imgs_offline_cuda.py │ │ ├── pyfaceverse.py │ │ └── util_functions.py │ ├── preprocess.py │ ├── preprocess_face_cameras.py │ ├── preprocess_in_the_wild.py │ ├── runme.py │ └── validate_ffhq.py ├── mirror_dataset.py ├── rebalance_ffhq │ ├── num_replicas.json │ └── rebalance_ffhq_dataset.py └── shapenet_cars │ ├── preprocess_shapenet_cameras.py │ └── run_me.py ├── dataset_tool.py ├── dnnlib ├── __init__.py └── util.py ├── docs └── teaser_v3.jpeg ├── environment.yml ├── evaluation.py ├── gen_samples_next3d.py ├── gen_videos_next3d.py ├── legacy.py ├── metrics ├── __init__.py ├── equivariance.py ├── frechet_inception_distance.py ├── inception_score.py ├── kernel_inception_distance.py ├── metric_main.py ├── metric_utils.py ├── perceptual_path_length.py └── precision_recall.py ├── reenact_avatar_next3d.py ├── shape_utils.py ├── torch_utils ├── __init__.py ├── custom_ops.py ├── misc.py ├── ops │ ├── __init__.py │ ├── bias_act.cpp │ ├── bias_act.cu │ ├── bias_act.h │ ├── bias_act.py │ ├── conv2d_gradfix.py │ ├── conv2d_resample.py │ ├── filtered_lrelu.cpp │ ├── filtered_lrelu.cu │ ├── filtered_lrelu.h │ ├── filtered_lrelu.py │ ├── filtered_lrelu_ns.cu │ ├── filtered_lrelu_rd.cu │ ├── filtered_lrelu_wr.cu │ ├── fma.py │ ├── grid_sample_gradfix.py │ ├── upfirdn2d.cpp │ ├── upfirdn2d.cu │ ├── upfirdn2d.h │ └── upfirdn2d.py ├── persistence.py └── training_stats.py ├── train_next3d.py ├── training ├── __init__.py ├── augment.py ├── crosssection_utils.py ├── dataset.py ├── dual_discriminator.py ├── loss.py ├── networks_stylegan2.py ├── networks_stylegan3.py ├── superresolution.py ├── training_loop.py ├── triplane.py └── volumetric_rendering │ ├── __init__.py │ ├── math_utils.py │ ├── ray_marcher.py │ ├── ray_sampler.py │ └── renderer.py ├── training_avatar_texture ├── __init__.py ├── augment.py ├── crosssection_utils.py ├── dataset.py ├── dual_discriminator.py ├── loss.py ├── networks_stylegan2.py ├── networks_stylegan2_styleunet.py ├── networks_stylegan2_vtoonify.py ├── networks_stylegan3.py ├── superresolution.py ├── training_loop.py ├── triplane.py ├── triplane_next3d.py └── volumetric_rendering │ ├── __init__.py │ ├── math_utils.py │ ├── ray_marcher.py │ ├── ray_sampler.py │ └── renderer.py └── viz ├── __init__.py ├── backbone_cache_widget.py ├── capture_widget.py ├── conditioning_pose_widget.py ├── latent_widget.py ├── layer_widget.py ├── performance_widget.py ├── pickle_widget.py ├── 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