rosinality / swapping-autoencoder-pytorch

Unofficial implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch

rosinality/swapping-autoencoder-pytorch Issues

Some implementation details about the official code
Updated 2 years ago
Region Editing
Updated 2 years ago
training time and batch size
Updated 2 years ago1
RuntimeError: No grad accumulator for a saved leaf!
Updated 2 years ago4
Generator output
Updated 2 years ago
ImportError: No module named 'fused'
Updated 3 years ago1
Windows error related to cpp extensions
Updated 3 years ago2
Need of two encoders and decoder of training
Closed 4 years ago8
DDP training
Closed 3 years ago1
mixing a texture and a structure leads to different results
Updated 3 years ago
Training on FFHQ - 1024px
Updated 3 years ago4
Where is the parameter initialization?
Updated 3 years ago2
how to replace faces?
Updated 3 years ago1
Using this implementation for Global editing
Updated 4 years ago9
Small difference between code and paper
Closed 4 years ago2
Is this possible for face replacement?
Updated 4 years ago1
Result Mismatch with the original results in paper in human faces
Updated 4 years ago11
Trained weights
Updated 4 years ago3
Second forward pass in the training loop
Updated 4 years ago2
Are the hyper-parmaters same for different datasets?
Closed 4 years ago4
Minor Issue
Closed 4 years ago1
How to use pca components to manipulate the structure code?
Updated 4 years ago4
Add colab or checkpoints
Updated 4 years ago2
export weights to onnx format
Updated 4 years ago1
Keyerror: 'args'
Closed 4 years ago6
Results question
Updated 4 years ago1