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github.com/alvinliu0/HumanGaussian
/ types & classes
Types & classes
220 in github.com/alvinliu0/HumanGaussian
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Functions
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Types & classes
220
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Endpoints
1
↓ 17 callers
Class
ResnetBlock
threestudio/utils/GAN/vae.py:80
↓ 8 callers
Class
DirectionConfig
threestudio/models/prompt_processors/base.py:27
↓ 6 callers
Class
Mesh
threestudio/models/mesh.py:12
↓ 5 callers
Class
NetLinLayer
A single linear layer which does a 1x1 conv
threestudio/utils/perceptual/perceptual.py:81
↓ 4 callers
Class
Camera
gaussiansplatting/scene/cameras.py:17
↓ 4 callers
Class
RandomCameraDataset
threestudio/data/uncond.py:526
↓ 4 callers
Class
Upsample
threestudio/utils/GAN/vae.py:44
↓ 3 callers
Class
BasicPointCloud
gs_renderer.py:141
↓ 3 callers
Class
Downsample
threestudio/utils/GAN/vae.py:60
↓ 3 callers
Class
GaussianModel
gaussiansplatting/scene/gaussian_model.py:24
↓ 3 callers
Class
LatentRescaler
threestudio/utils/GAN/vae.py:753
↓ 3 callers
Class
MeshOBJ
threestudio/utils/ops.py:318
↓ 3 callers
Class
PipelineParams
gaussiansplatting/arguments/__init__.py:63
↓ 3 callers
Class
RandomCameraIterableDataset
threestudio/data/uncond.py:212
↓ 3 callers
Class
TetrahedraSDFGrid
threestudio/models/geometry/tetrahedra_sdf_grid.py:26
↓ 2 callers
Class
AttnBlock
threestudio/utils/GAN/vae.py:147
↓ 2 callers
Class
BasicPointCloud
gaussiansplatting/utils/graphics_utils.py:17
↓ 2 callers
Class
CameraInfo
gaussiansplatting/scene/dataset_readers.py:26
↓ 2 callers
Class
Co3dDataset
threestudio/data/co3d.py:528
↓ 2 callers
Class
CrossAttention
threestudio/utils/GAN/attention.py:150
↓ 2 callers
Class
Decoder
threestudio/utils/GAN/vae.py:499
↓ 2 callers
Class
DiagonalGaussianDistribution
threestudio/utils/GAN/distribution.py:24
↓ 2 callers
Class
ExporterOutput
threestudio/models/exporters/base.py:12
↓ 2 callers
Class
Hswish
threestudio/utils/GAN/mobilenet.py:33
↓ 2 callers
Class
Image
gaussiansplatting/scene/colmap_loader.py:68
↓ 2 callers
Class
KeyNotFoundError
threestudio/utils/perceptual/utils.py:43
↓ 2 callers
Class
MarchingTetrahedraHelper
threestudio/models/isosurface.py:69
↓ 2 callers
Class
ModelParams
gaussiansplatting/arguments/__init__.py:47
↓ 2 callers
Class
MultiviewDataset
threestudio/data/multiview.py:196
↓ 2 callers
Class
NVDiffRasterizerContext
threestudio/utils/rasterize.py:7
↓ 2 callers
Class
OptimizationParams
gaussiansplatting/arguments/__init__.py:70
↓ 2 callers
Class
Scene
gaussiansplatting/scene/__init__.py:21
↓ 2 callers
Class
SceneInfo
gaussiansplatting/scene/dataset_readers.py:38
↓ 2 callers
Class
SingleImageDataset
threestudio/data/image.py:273
↓ 2 callers
Class
Skeleton
threestudio/utils/poser.py:106
↓ 1 callers
Class
AlexNet
gaussiansplatting/lpipsPyTorch/modules/networks.py:77
↓ 1 callers
Class
BasicTransformerBlock
threestudio/utils/GAN/attention.py:193
↓ 1 callers
Class
Co3dIterableDataset
threestudio/data/co3d.py:592
↓ 1 callers
Class
CodeSnapshotCallback
threestudio/utils/callbacks.py:60
↓ 1 callers
Class
ColoredFilter
A logging filter to add color to certain log levels.
launch.py:9
↓ 1 callers
Class
CompositeEncoding
threestudio/models/networks.py:108
↓ 1 callers
Class
ConfigSnapshotCallback
threestudio/utils/callbacks.py:97
↓ 1 callers
Class
CustomProgressBar
threestudio/utils/callbacks.py:113
↓ 1 callers
Class
Encoder
threestudio/utils/GAN/vae.py:379
↓ 1 callers
Class
F
gaussiansplatting/utils/general_utils.py:114
↓ 1 callers
Class
FeedForward
threestudio/utils/GAN/attention.py:48
↓ 1 callers
Class
GEGLU
threestudio/utils/GAN/attention.py:38
↓ 1 callers
Class
GUI
animation.py:487
↓ 1 callers
Class
GaussianModel
gs_renderer.py:147
↓ 1 callers
Class
GroupNorm32
threestudio/utils/GAN/network_util.py:241
↓ 1 callers
Class
GroupParams
gaussiansplatting/arguments/__init__.py:16
↓ 1 callers
Class
Hsigmoid
threestudio/utils/GAN/mobilenet.py:42
↓ 1 callers
Class
ImplicitVolume
threestudio/models/geometry/implicit_volume.py:20
↓ 1 callers
Class
LPIPS
r"""Creates a criterion that measures Learned Perceptual Image Patch Similarity (LPIPS). Arguments: net_type (str): the network type
gaussiansplatting/lpipsPyTorch/modules/lpips.py:8
↓ 1 callers
Class
LearnedVariance
threestudio/models/renderers/neus_volume_renderer.py:23
↓ 1 callers
Class
LinAttnBlock
to match AttnBlock usage
threestudio/utils/GAN/vae.py:140
↓ 1 callers
Class
LinLayers
gaussiansplatting/lpipsPyTorch/modules/networks.py:23
↓ 1 callers
Class
MarchingCubeCPUHelper
threestudio/models/isosurface.py:19
↓ 1 callers
Class
MiniCam
gs_renderer.py:853
↓ 1 callers
Class
MiniCam
gaussiansplatting/scene/cameras.py:56
↓ 1 callers
Class
MobileBottleneck
threestudio/utils/GAN/mobilenet.py:84
↓ 1 callers
Class
MobileNetV3
threestudio/utils/GAN/mobilenet.py:127
↓ 1 callers
Class
MultiviewIterableDataset
threestudio/data/multiview.py:74
↓ 1 callers
Class
NLayerDiscriminator
Defines a PatchGAN discriminator as in Pix2Pix --> see https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/blob/master/models/networks.py
threestudio/utils/GAN/discriminator.py:146
↓ 1 callers
Class
NetworkWithInputEncoding
threestudio/models/networks.py:288
↓ 1 callers
Class
ProgressCallback
threestudio/utils/callbacks.py:121
↓ 1 callers
Class
ProgressiveBandFrequency
threestudio/models/networks.py:16
↓ 1 callers
Class
ProgressiveBandHashGrid
threestudio/models/networks.py:67
↓ 1 callers
Class
PromptProcessorOutput
threestudio/models/prompt_processors/base.py:38
↓ 1 callers
Class
Renderer
gs_renderer.py:882
↓ 1 callers
Class
ScalingLayer
threestudio/utils/perceptual/perceptual.py:67
↓ 1 callers
Class
SingleImageIterableDataset
threestudio/data/image.py:236
↓ 1 callers
Class
Skeleton
animation.py:66
↓ 1 callers
Class
SphereInitVanillaMLP
threestudio/models/networks.py:190
↓ 1 callers
Class
SqueezeNet
gaussiansplatting/lpipsPyTorch/modules/networks.py:66
↓ 1 callers
Class
SubModules
threestudio/models/exporters/base.py:32
↓ 1 callers
Class
SubModules
threestudio/models/renderers/base.py:30
↓ 1 callers
Class
TCNNEncoding
threestudio/models/networks.py:55
↓ 1 callers
Class
TCNNNetwork
threestudio/models/networks.py:262
↓ 1 callers
Class
TCNNNetworkWithInputEncoding
threestudio/models/networks.py:297
↓ 1 callers
Class
UNet2DConditionModel
r""" A conditional 2D UNet model that takes a noisy sample, conditional state, and a timestep and returns a sample shaped output. This mo
threestudio/models/guidance/models/unet_rgbdepth.py:68
↓ 1 callers
Class
UNet2DConditionOutput
The output of [`UNet2DConditionModel`]. Args: sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)`):
threestudio/models/guidance/models/unet_rgbdepth.py:56
↓ 1 callers
Class
VGG16
gaussiansplatting/lpipsPyTorch/modules/networks.py:88
↓ 1 callers
Class
VanillaMLP
threestudio/models/networks.py:150
↓ 1 callers
Class
vgg16
threestudio/utils/perceptual/perceptual.py:99
Class
AbstractDistribution
threestudio/utils/GAN/distribution.py:5
Class
AbstractEncoder
threestudio/utils/GAN/discriminator.py:98
Class
ActNorm
threestudio/utils/GAN/discriminator.py:12
Class
Adan
Implements a pytorch variant of Adan Adan was proposed in Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep M
threestudio/systems/optimizers.py:23
Class
BaseBackground
threestudio/models/background/base.py:13
Class
BaseExplicitGeometry
threestudio/models/geometry/base.py:191
Class
BaseGeometry
threestudio/models/geometry/base.py:35
Class
BaseImplicitGeometry
threestudio/models/geometry/base.py:54
Class
BaseLift3DSystem
threestudio/systems/base.py:185
Class
BaseMaterial
threestudio/models/materials/base.py:13
Class
BaseModule
threestudio/utils/base.py:69
Class
BaseNet
gaussiansplatting/lpipsPyTorch/modules/networks.py:36
Class
BaseObject
threestudio/utils/base.py:50
Class
BaseSystem
threestudio/systems/base.py:17
Class
CheckpointFunction
threestudio/utils/GAN/network_util.py:142
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