yusuf-jkhan1 / pix2pix-pytorch

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pix-pytorch

PyTorch implementation of Image-to-Image Translation Using Conditional Adversarial Networks.

Based on pix2pix by Phillip Isola et al.

The examples from the paper:

Prerequisites

• Linux
• Python, Numpy, PIL
• pytorch 0.4.0
• torchvision 0.2.1

Getting Started

• Clone this repo:

  git clone [e-mail]:mrzhu-cool/pix2pix-pytorch.git cd pix2pix-pytorch

• Get dataset

  unzip dataset/facades.zip

• Train the model:

  python train.py --dataset facades --cuda

• Test the model:

  python test.py --dataset facades --cuda

Acknowledgments

This code is a simple implementation of pix2pix. Easier to understand. Note that we use a downsampling-resblocks-upsampling structure instead of the unet structure in this code, therefore the results of this code may inconsistent with the results presented in the paper.

Highly recommend the more sophisticated and organized code pytorch-CycleGAN-and-pix2pix by Jun-Yan Zhu.