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Author
Last Commit
Oct. 11, 2018
Created
Apr. 16, 2018

MUNIT-Tensorflow

Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation"

Requirements

  • Tensorflow 1.4
  • Python 3.6

Issue

  • Author uses so many iterations (1M = 1,000,000)
  • Author uses LSGAN, but do not multiply each of G and D by 0.5

Usage

├── dataset
   └── YOUR_DATASET_NAME
       ├── trainA
           ├── xxx.jpg (name, format doesn't matter)
           ├── yyy.png
           └── ...
       ├── trainB
           ├── zzz.jpg
           ├── www.png
           └── ...
       ├── testA
           ├── aaa.jpg 
           ├── bbb.png
           └── ...
       └── testB
           ├── ccc.jpg 
           ├── ddd.png
           └── ...
           
├── guide.jpg (example for guided image translation task)

Train

  • python main.py --phase train --dataset summer2winter --batch_size 1

Test

  • python main.py --phase test --dataset summer2winter --batch_size 1 --num_style 3

Guided Image Translation

  • python main.py --phase guide --dataset summer2winter --batch_size 1 --direction a2b --guide_img guide.jpg

Summary

illustration

Architecture

architecture

Model Overview

model_overview

Results

Edges to Shoes/handbags Translation

edges2shoes_handbags

Animal Image Translation

animal

Street Scene Translation

street

Yosemite Summer to Winter Translation (HD)

summer2winter_yosemite

Example-guided Image Translation

guide

Related works

Reference

Author

Junho Kim