# Pytorch-Attention-Guided-CycleGAN
Attempt at Pytorch implementation of Unsupervised Attention-guided
Image-to-Image Translation.
This architecture uses an attention module to identify the foreground or salient parts of the images onto which image translation is to be done.
Some of the results shown in the paper -
# How to run
Download dataset
```bash
bash datasets/download_datasets.sh
```
Train
```bash
train.py
```
optional arguments
```shell
--resume
--dataroot
--LRgen
--LRdis
--LRattn
```
# attention_guided_img_trans
# attention_guided_img_trans
# attention_guided_img_trans