Awesome
Deep Bayesian Video Frame Interpolation (ECCV2022)
[Paper&supp], [Demo], [Presentation]
1. Requirements
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cuda 9.0, cudnn7.6.5
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python 3.6.9
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pytorch 1.8.1
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numpy 1.17.2
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cupy-90
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tqdm
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gcc 5.4.0
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cmake 3.16.0
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opencv_contrib_python
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For distributed training with multi-gpus on cluster: slurm 15.08.11
2. How to use
3. Citation
@inproceedings{DBVI2022,
title={Deep Bayesian Video Frame Interpolation},
author={Yu, Zhiyang and Zhang, Yu and Xiang, Xujie and Zou, Dongqing and Chen, Xijun and Ren, Jimmy S},
booktitle={European Conference on Computer Vision},
pages={144--160},
year={2022},
organization={Springer}
}
4. Reference code base
[opencv_torchvision], [ESRGAN], [CAM-Net], [SoftSplat], [DeepView], [FLAVR], [superSlomo], [QVI]