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Types & classes60 in github.com/Time-Travel-Rephotography/Time-Travel-Rephotography.github.io

⨍ Functions 204◇ Types & classes 60
↓ 5 callersClassConvLayer
model.py:568
↓ 4 callersClassEqualLinear
model.py:133
↓ 3 callersClassBlur
model.py:76
↓ 3 callersClassDownsample
Antialiasing downsampling
models/degrade.py:71
↓ 3 callersClassStyledConv
model.py:308
↓ 2 callersClassEncoder
models/encoder.py:24
↓ 2 callersClassFusedLeakyReLU
op/fused_act.py:73
↓ 2 callersClassGaussianSmoothing
Apply gaussian smoothing on a 1d, 2d or 3d tensor. Filtering is performed seperately for each channel in the input using a depthwise conv
models/gaussian_smoothing.py:8
↓ 2 callersClassModulatedConv2d
model.py:182
↓ 2 callersClassToRGB
model.py:345
↓ 1 callersClassBakedContextualLoss
losses/joint_loss.py:78
↓ 1 callersClassCameraResponse
models/degrade.py:31
↓ 1 callersClassColorTransferLoss
Penalize the gram matrix difference between StyleGAN2's ToRGB outputs
losses/color_transfer_loss.py:35
↓ 1 callersClassConstantInput
model.py:295
↓ 1 callersClassConv2dAuto
models/resnet.py:22
↓ 1 callersClassDegrade
Simulate the degradation of antique film
models/degrade.py:99
↓ 1 callersClassEqualConv2d
model.py:95
↓ 1 callersClassEyeLoss
losses/reconstruction.py:36
↓ 1 callersClassFaceLoss
losses/reconstruction.py:86
↓ 1 callersClassFlatten
models/encoder.py:19
↓ 1 callersClassGenerator
model.py:368
↓ 1 callersClassInitializer
tools/initialize.py:105
↓ 1 callersClassJointLoss
losses/joint_loss.py:89
↓ 1 callersClassLandmarksDetector
utils/ffhq_dataset/landmarks_detector.py:5
↓ 1 callersClassLatentNoiser
utils/optimize.py:57
↓ 1 callersClassNoiseInjection
model.py:281
↓ 1 callersClassNoiseRegularizer
losses/regularize_noise.py:7
↓ 1 callersClassPerceptualLoss
losses/perceptual_loss.py:90
↓ 1 callersClassPixelNorm
model.py:15
↓ 1 callersClassProjectorArguments
utils/projector_arguments.py:17
↓ 1 callersClassRAdam
optim/radam.py:6
↓ 1 callersClassResBlock
model.py:617
↓ 1 callersClassScaledLeakyReLU
model.py:170
↓ 1 callersClassSizePathMap
{size: {aligned_face_path0, aligned_face_path1, ...}, ...}
tools/data/align_images.py:25
↓ 1 callersClassSpectralResponse
models/degrade.py:48
↓ 1 callersClassUpsample
model.py:34
↓ 1 callersClassVGGFaceFeats
models/vggface.py:109
↓ 1 callersClassVGGFacePerceptualLoss
losses/perceptual_loss.py:53
↓ 1 callersClassVGGPerceptualLoss
losses/perceptual_loss.py:13
↓ 1 callersClassVgg_face_dag
models/vggface.py:6
ClassAdamW
optim/radam.py:179
ClassBakedMultiContextualLoss
Random sample different image patches for different vgg layers.
losses/joint_loss.py:60
ClassColorEncoderArguments
tools/initialize.py:32
ClassDNNLandmarksDetector
utils/ffhq_dataset/landmarks_detector.py:29
ClassDegradeArguments
models/degrade.py:15
ClassDiscriminator
model.py:638
ClassDownsample
model.py:55
ClassFusedLeakyReLUFunction
op/fused_act.py:51
ClassFusedLeakyReLUFunctionBackward
op/fused_act.py:19
ClassInitializerArguments
tools/initialize.py:48
ClassLossArguments
losses/joint_loss.py:31
ClassOptimizer
utils/optimize.py:82
ClassOptimizerArguments
utils/optimize.py:31
ClassPlainRAdam
optim/radam.py:101
ClassReconstructionArguments
losses/reconstruction.py:16
ClassResNetBasicBlock
Basic ResNet block composed by two layers of 3x3conv/batchnorm/activation
models/resnet.py:81
ClassResNetResidualBlock
models/resnet.py:54
ClassResidualBlock
models/resnet.py:32
ClassUpFirDn2d
op/upfirdn2d.py:87
ClassUpFirDn2dBackward
op/upfirdn2d.py:18