Ugatitmaster

OfficialPyTorchimplementationofU-GAT-IT:UnsupervisedGenerativeAttentionalNetworkswithAdaptiveLayer-InstanceNormalizationforImage-to-Image ...,...UGATIT/main.pyatmaster·taki0112/UGATIT....fromUGATITimportUGATITimportargparsefromutilsimport*parsingandconfigurationdefparse_args ...,AbstractWeproposeanovelmethodforunsupervisedimage-to-imagetranslation,whichincorporatesanewattentionmoduleandanewlea...

at master · znxlwmUGATIT

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image ...

main.py

... UGATIT/main.py at master · taki0112/UGATIT. ... from UGATIT import UGATIT import argparse from utils import * parsing and configuration def parse_args ...

UGATIT

Abstract We propose a novel method for unsupervised image-to-image translation, which incorporates a new attention module and a new learnable normalization ...

UGATITutils.py at master

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image ...

LornatangUGATIT

This repository contains an op-for-op PyTorch reimplementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance ...

UGATITUGATIT.py at master · taki0112UGATIT

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image ...

taki0112UGATIT

Insights. taki0112/UGATIT. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. master. Switch ...

Official PyTorch implementation of U-GAT-IT

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image ...

UGATITREADME.md at master

Abstract We propose a novel method for unsupervised image-to-image translation, which incorporates a new attention module and a new learnable normalization ...