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Pytorch Implementation of "PoSNet: 4x video frame interpolation using position-specific flow"

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SonghyunYu/PoSNet

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Pytorch Implementation of "PoSNet: 4x video frame interpolation using position-specific flow"

This method took 3rd place atAIM 2019 Video Temporal Super-Resolution Challenge

Related Work

In our work, we used the code ofPWCNet andSpyNet. Thanks toSimon Niklaus for releasing the implementations.

Environment

python 3.7
pytorch 1.0.0

Prepare data

Test

Download Pre-trained models:[download] and place them in the './models' folder.

Example:

python main_middle.py --cuda --eval  # to interpolate middle framepython main_side.py --cuda --eval  # to interpolate side frames

Training

To train your own model, you should prepare dataset using prepare_data.py.

Example:

python main_middle.py --cuda

Anknowledgement

Contact

If you have any question, feel free to contact me atfkdlzmftld@gmail.com

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Pytorch Implementation of "PoSNet: 4x video frame interpolation using position-specific flow"

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