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hub / github.com/alvinliu0/HumanGaussian / types & classes

Types & classes220 in github.com/alvinliu0/HumanGaussian

↓ 17 callersClassResnetBlock
threestudio/utils/GAN/vae.py:80
↓ 8 callersClassDirectionConfig
threestudio/models/prompt_processors/base.py:27
↓ 6 callersClassMesh
threestudio/models/mesh.py:12
↓ 5 callersClassNetLinLayer
A single linear layer which does a 1x1 conv
threestudio/utils/perceptual/perceptual.py:81
↓ 4 callersClassCamera
gaussiansplatting/scene/cameras.py:17
↓ 4 callersClassRandomCameraDataset
threestudio/data/uncond.py:526
↓ 4 callersClassUpsample
threestudio/utils/GAN/vae.py:44
↓ 3 callersClassBasicPointCloud
gs_renderer.py:141
↓ 3 callersClassDownsample
threestudio/utils/GAN/vae.py:60
↓ 3 callersClassGaussianModel
gaussiansplatting/scene/gaussian_model.py:24
↓ 3 callersClassLatentRescaler
threestudio/utils/GAN/vae.py:753
↓ 3 callersClassMeshOBJ
threestudio/utils/ops.py:318
↓ 3 callersClassPipelineParams
gaussiansplatting/arguments/__init__.py:63
↓ 3 callersClassRandomCameraIterableDataset
threestudio/data/uncond.py:212
↓ 3 callersClassTetrahedraSDFGrid
threestudio/models/geometry/tetrahedra_sdf_grid.py:26
↓ 2 callersClassAttnBlock
threestudio/utils/GAN/vae.py:147
↓ 2 callersClassBasicPointCloud
gaussiansplatting/utils/graphics_utils.py:17
↓ 2 callersClassCameraInfo
gaussiansplatting/scene/dataset_readers.py:26
↓ 2 callersClassCo3dDataset
threestudio/data/co3d.py:528
↓ 2 callersClassCrossAttention
threestudio/utils/GAN/attention.py:150
↓ 2 callersClassDecoder
threestudio/utils/GAN/vae.py:499
↓ 2 callersClassDiagonalGaussianDistribution
threestudio/utils/GAN/distribution.py:24
↓ 2 callersClassExporterOutput
threestudio/models/exporters/base.py:12
↓ 2 callersClassHswish
threestudio/utils/GAN/mobilenet.py:33
↓ 2 callersClassImage
gaussiansplatting/scene/colmap_loader.py:68
↓ 2 callersClassKeyNotFoundError
threestudio/utils/perceptual/utils.py:43
↓ 2 callersClassMarchingTetrahedraHelper
threestudio/models/isosurface.py:69
↓ 2 callersClassModelParams
gaussiansplatting/arguments/__init__.py:47
↓ 2 callersClassMultiviewDataset
threestudio/data/multiview.py:196
↓ 2 callersClassNVDiffRasterizerContext
threestudio/utils/rasterize.py:7
↓ 2 callersClassOptimizationParams
gaussiansplatting/arguments/__init__.py:70
↓ 2 callersClassScene
gaussiansplatting/scene/__init__.py:21
↓ 2 callersClassSceneInfo
gaussiansplatting/scene/dataset_readers.py:38
↓ 2 callersClassSingleImageDataset
threestudio/data/image.py:273
↓ 2 callersClassSkeleton
threestudio/utils/poser.py:106
↓ 1 callersClassAlexNet
gaussiansplatting/lpipsPyTorch/modules/networks.py:77
↓ 1 callersClassBasicTransformerBlock
threestudio/utils/GAN/attention.py:193
↓ 1 callersClassCo3dIterableDataset
threestudio/data/co3d.py:592
↓ 1 callersClassCodeSnapshotCallback
threestudio/utils/callbacks.py:60
↓ 1 callersClassColoredFilter
A logging filter to add color to certain log levels.
launch.py:9
↓ 1 callersClassCompositeEncoding
threestudio/models/networks.py:108
↓ 1 callersClassConfigSnapshotCallback
threestudio/utils/callbacks.py:97
↓ 1 callersClassCustomProgressBar
threestudio/utils/callbacks.py:113
↓ 1 callersClassEncoder
threestudio/utils/GAN/vae.py:379
↓ 1 callersClassF
gaussiansplatting/utils/general_utils.py:114
↓ 1 callersClassFeedForward
threestudio/utils/GAN/attention.py:48
↓ 1 callersClassGEGLU
threestudio/utils/GAN/attention.py:38
↓ 1 callersClassGUI
animation.py:487
↓ 1 callersClassGaussianModel
gs_renderer.py:147
↓ 1 callersClassGroupNorm32
threestudio/utils/GAN/network_util.py:241
↓ 1 callersClassGroupParams
gaussiansplatting/arguments/__init__.py:16
↓ 1 callersClassHsigmoid
threestudio/utils/GAN/mobilenet.py:42
↓ 1 callersClassImplicitVolume
threestudio/models/geometry/implicit_volume.py:20
↓ 1 callersClassLPIPS
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 callersClassLearnedVariance
threestudio/models/renderers/neus_volume_renderer.py:23
↓ 1 callersClassLinAttnBlock
to match AttnBlock usage
threestudio/utils/GAN/vae.py:140
↓ 1 callersClassLinLayers
gaussiansplatting/lpipsPyTorch/modules/networks.py:23
↓ 1 callersClassMarchingCubeCPUHelper
threestudio/models/isosurface.py:19
↓ 1 callersClassMiniCam
gs_renderer.py:853
↓ 1 callersClassMiniCam
gaussiansplatting/scene/cameras.py:56
↓ 1 callersClassMobileBottleneck
threestudio/utils/GAN/mobilenet.py:84
↓ 1 callersClassMobileNetV3
threestudio/utils/GAN/mobilenet.py:127
↓ 1 callersClassMultiviewIterableDataset
threestudio/data/multiview.py:74
↓ 1 callersClassNLayerDiscriminator
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 callersClassNetworkWithInputEncoding
threestudio/models/networks.py:288
↓ 1 callersClassProgressCallback
threestudio/utils/callbacks.py:121
↓ 1 callersClassProgressiveBandFrequency
threestudio/models/networks.py:16
↓ 1 callersClassProgressiveBandHashGrid
threestudio/models/networks.py:67
↓ 1 callersClassPromptProcessorOutput
threestudio/models/prompt_processors/base.py:38
↓ 1 callersClassRenderer
gs_renderer.py:882
↓ 1 callersClassScalingLayer
threestudio/utils/perceptual/perceptual.py:67
↓ 1 callersClassSingleImageIterableDataset
threestudio/data/image.py:236
↓ 1 callersClassSkeleton
animation.py:66
↓ 1 callersClassSphereInitVanillaMLP
threestudio/models/networks.py:190
↓ 1 callersClassSqueezeNet
gaussiansplatting/lpipsPyTorch/modules/networks.py:66
↓ 1 callersClassSubModules
threestudio/models/exporters/base.py:32
↓ 1 callersClassSubModules
threestudio/models/renderers/base.py:30
↓ 1 callersClassTCNNEncoding
threestudio/models/networks.py:55
↓ 1 callersClassTCNNNetwork
threestudio/models/networks.py:262
↓ 1 callersClassTCNNNetworkWithInputEncoding
threestudio/models/networks.py:297
↓ 1 callersClassUNet2DConditionModel
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 callersClassUNet2DConditionOutput
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 callersClassVGG16
gaussiansplatting/lpipsPyTorch/modules/networks.py:88
↓ 1 callersClassVanillaMLP
threestudio/models/networks.py:150
↓ 1 callersClassvgg16
threestudio/utils/perceptual/perceptual.py:99
ClassAbstractDistribution
threestudio/utils/GAN/distribution.py:5
ClassAbstractEncoder
threestudio/utils/GAN/discriminator.py:98
ClassActNorm
threestudio/utils/GAN/discriminator.py:12
ClassAdan
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
ClassBaseBackground
threestudio/models/background/base.py:13
ClassBaseExplicitGeometry
threestudio/models/geometry/base.py:191
ClassBaseGeometry
threestudio/models/geometry/base.py:35
ClassBaseImplicitGeometry
threestudio/models/geometry/base.py:54
ClassBaseLift3DSystem
threestudio/systems/base.py:185
ClassBaseMaterial
threestudio/models/materials/base.py:13
ClassBaseModule
threestudio/utils/base.py:69
ClassBaseNet
gaussiansplatting/lpipsPyTorch/modules/networks.py:36
ClassBaseObject
threestudio/utils/base.py:50
ClassBaseSystem
threestudio/systems/base.py:17
ClassCheckpointFunction
threestudio/utils/GAN/network_util.py:142
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