FI-MSAGAN

My personal implementation for Multi-Scale Attention Generative Adversarial Networks for Video Frame Interpolation (2020).

Requirements

This is a PyTorch implementation. Hence, we need PyTorch>=1.5.0 for it.

The previous version of PyTorch may work but we have not checked.

Dataset

The target dataset of this implementation is the Vimeo-90k dataset. Please see the Vimeo-90k dataset documentation for further information.

Reference

@ARTICLE{9097443,
  author={Xiao, Jian and Bi, Xiaojun},
  journal={IEEE Access}, 
  title={Multi-Scale Attention Generative Adversarial Networks for Video Frame Interpolation}, 
  year={2020},
  volume={8},
  number={},
  pages={94842-94851},
  doi={10.1109/ACCESS.2020.2995705}}

@misc{pytorch-fi-msgan,
   author = {Quang Nhat Tran},
   title = {A Reimplementation of {FI-MSGAN} Using {PyTorch}},
   year = {2021},
   howpublished = {\url{https://github.com/tnquang1416/FI-MSGAN}}
}