This is the official implementation for Video Frame Interpolation Via Down-Up Scale Generative Adversarial Networks (2022).
For using this implementation, we recommend PyTorch with version 1.5.0 or later.
The target dataset of this implementation is the Vimeo-90k dataset. The sample data directory is organized following the frame interpolation subset of the Vimeo90k.
Please see the Vimeo-90k dataset documentation for more details.
python train.py --path=cpt_folder
Please find it on Google Drive and then put in the pre-trained folder. Note that rename the file to "net_gen.pt" might be required.
@ARTICLE{9097443,
author={Tran, Quang Nhat and Yang, Shih-Hsuan},
journal={Computer Vision and Image Understanding},
title={Video Frame Interpolation Via Down-Up Scale Generative Adversarial Networks},
year={2022},
volume={220},
doi={https://doi.org/10.1016/j.cviu.2022.103434}}