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Types & classes36 in github.com/VITA-Group/INS

↓ 6 callersClassConvLayer
models/transformer_net.py:47
↓ 5 callersClassResidualBlock
ResidualBlock introduced in: https://arxiv.org/abs/1512.03385 recommended architecture: http://torch.ch/blog/2016/02/04/resnets.html
models/transformer_net.py:60
↓ 2 callersClassEmbedder
models/embedder.py:14
↓ 2 callersClassNeRFMLP
models/nerf_mlp.py:155
↓ 2 callersClassNeRFNet
models/nerf_net.py:23
↓ 2 callersClassPatchNeRFDataset
data/datasets.py:120
↓ 2 callersClassRay_Batch_Collate
data/collater.py:7
↓ 2 callersClassUpsampleConvLayer
UpsampleConvLayer Upsamples the input and then does a convolution. This method gives better results compared to ConvTranspose2d. ref: http
models/transformer_net.py:82
↓ 1 callersClassBatchNeRFDataset
data/datasets.py:89
↓ 1 callersClassEmbedder
idr/model/embedder.py:5
↓ 1 callersClassExhibitNeRFDataset
data/datasets.py:240
↓ 1 callersClassIDRTrainRunner
idr/training/idr_train.py:10
↓ 1 callersClassImplicitNetwork
idr/model/implicit_differentiable_renderer.py:10
↓ 1 callersClassImportanceSampler
models/sampler.py:75
↓ 1 callersClassLRScheduler
engines/lr.py:5
↓ 1 callersClassMLP
models/nerf_mlp.py:18
↓ 1 callersClassRayTracing
idr/model/ray_tracing.py:5
↓ 1 callersClassRenderingNetwork
idr/model/implicit_differentiable_renderer.py:99
↓ 1 callersClassSampleNetwork
Represent the intersection (sample) point as differentiable function of the implicit geometry and camera parameters. See equation 3 in the pa
idr/model/sample_network.py:4
↓ 1 callersClassStratifiedSampler
models/sampler.py:11
↓ 1 callersClassVgg16
idr/model/vgg.py:8
↓ 1 callersClassVgg16
models/vgg.py:7
↓ 1 callersClassVolumetricRenderer
models/renderer.py:54
ClassBaseNeRFDataset
data/datasets.py:10
ClassCameraTransformer
models/camera_transform.py:43
ClassEmbedMLP
models/nerf_mlp.py:269
ClassIDRLoss
idr/model/loss.py:25
ClassIDRNetwork
idr/model/implicit_differentiable_renderer.py:159
ClassImageFolderWithPaths
Custom dataset that includes image file paths. Extends torchvision.datasets.ImageFolder() Reference: https://discuss.pytorch.org/t/dataloader
utils/style_utils.py:114
ClassImage_Batch_Collate
data/collater.py:37
ClassLayeredSampler
models/sampler.py:169
ClassPoint_Batch_Collate
data/collater.py:54
ClassProjectionRenderer
models/renderer.py:145
ClassSceneDataset
Dataset for a class of objects, where each datapoint is a SceneInstanceDataset.
idr/datasets/scene_dataset.py:11
ClassTransformerNet
models/transformer_net.py:4
ClassVoteNet
models/vote_net.py:32