Skip to content

An unofficial implementation of Joint Bilateral Learning for Real-time Universal hotorealistic Style Transfer

License

Notifications You must be signed in to change notification settings

mzprose/Joint-Bilateral-Learning

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Joint Bilateral Learning

This repository is an unofficial implementation in PyTorch for the paper:

Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer

Dependencies

  • Python 3.7.2
  • PyTorch 1.2
  • CUDA10.0 and cuDNN

Train

$ python main.py --cont_img_path <path/to/cont_img> --style_img_path <path/to/style_img> --batch_size 8

Test

$ python test.py --cont_img_path <path/to/single_cont_img> --style_img_path <path/to/single_style_img> --model_checkpoint <path/to/model checkpoint>

About

An unofficial implementation of Joint Bilateral Learning for Real-time Universal hotorealistic Style Transfer

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%