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github.com/VITA-Group/INS
/ types & classes
Types & classes
36 in github.com/VITA-Group/INS
⨍
Functions
223
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Types & classes
36
↓ 6 callers
Class
ConvLayer
models/transformer_net.py:47
↓ 5 callers
Class
ResidualBlock
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 callers
Class
Embedder
models/embedder.py:14
↓ 2 callers
Class
NeRFMLP
models/nerf_mlp.py:155
↓ 2 callers
Class
NeRFNet
models/nerf_net.py:23
↓ 2 callers
Class
PatchNeRFDataset
data/datasets.py:120
↓ 2 callers
Class
Ray_Batch_Collate
data/collater.py:7
↓ 2 callers
Class
UpsampleConvLayer
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 callers
Class
BatchNeRFDataset
data/datasets.py:89
↓ 1 callers
Class
Embedder
idr/model/embedder.py:5
↓ 1 callers
Class
ExhibitNeRFDataset
data/datasets.py:240
↓ 1 callers
Class
IDRTrainRunner
idr/training/idr_train.py:10
↓ 1 callers
Class
ImplicitNetwork
idr/model/implicit_differentiable_renderer.py:10
↓ 1 callers
Class
ImportanceSampler
models/sampler.py:75
↓ 1 callers
Class
LRScheduler
engines/lr.py:5
↓ 1 callers
Class
MLP
models/nerf_mlp.py:18
↓ 1 callers
Class
RayTracing
idr/model/ray_tracing.py:5
↓ 1 callers
Class
RenderingNetwork
idr/model/implicit_differentiable_renderer.py:99
↓ 1 callers
Class
SampleNetwork
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 callers
Class
StratifiedSampler
models/sampler.py:11
↓ 1 callers
Class
Vgg16
idr/model/vgg.py:8
↓ 1 callers
Class
Vgg16
models/vgg.py:7
↓ 1 callers
Class
VolumetricRenderer
models/renderer.py:54
Class
BaseNeRFDataset
data/datasets.py:10
Class
CameraTransformer
models/camera_transform.py:43
Class
EmbedMLP
models/nerf_mlp.py:269
Class
IDRLoss
idr/model/loss.py:25
Class
IDRNetwork
idr/model/implicit_differentiable_renderer.py:159
Class
ImageFolderWithPaths
Custom dataset that includes image file paths. Extends torchvision.datasets.ImageFolder() Reference: https://discuss.pytorch.org/t/dataloader
utils/style_utils.py:114
Class
Image_Batch_Collate
data/collater.py:37
Class
LayeredSampler
models/sampler.py:169
Class
Point_Batch_Collate
data/collater.py:54
Class
ProjectionRenderer
models/renderer.py:145
Class
SceneDataset
Dataset for a class of objects, where each datapoint is a SceneInstanceDataset.
idr/datasets/scene_dataset.py:11
Class
TransformerNet
models/transformer_net.py:4
Class
VoteNet
models/vote_net.py:32