My personal implementation for Multi-Scale Attention Generative Adversarial Networks for Video Frame Interpolation (2020).
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.
The target dataset of this implementation is the Vimeo-90k dataset. Please see the Vimeo-90k dataset documentation for further information.
@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}}
}
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