Skip to content
NJUPT-MCCPublic

About

[ACM MM 2024] A fast and effective Story Visualization and Continuation Model

Resources

Stars

1 star

Watchers

0 watching

Forks

Latest commit

 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 

Repository files navigation

License CC BY-NC-SA 4.0 Python 3.9 Packagist hardware Last Commit Maintenance Ask Me Anything !

CoIn: A Lightweight and Effective Framework for Story Visualization and Continuation

Contextualize and Interchange during Coherent Story Visualization and Continuation

Official Pytorch implementation for our paper CoIn: A Lightweight and Effective Framework for Story Visualization and Continuation by Ming Tao, Bing-Kun Bao, Hao Tang, Yaowei Wang, Changsheng Xu.

Generated Images

Requirements

  • python 3.9
  • Pytorch 1.9
  • At least 1x24GB 3090 GPU (for training)
  • Only CPU (for sampling)

Details can be found in https://github.com/tobran/CoIn

About

[ACM MM 2024] A fast and effective Story Visualization and Continuation Model

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors