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Environment

  • GPU: GTX1080Ti
  • Ubuntu 16.04.4
  • CUDA 10.0
  • python 3.6
  • torch 1.2.0
  • torchvision 0.4.0
  • cupy 6.2.0
  • scipy 1.3.1
  • pillow 6.1.0
  • numpy 1.17.0

training data

  1. Download Vimeo90k training data from vimeo triplet dataset.

For more informaiton about Vimeo90k, please refer to TOFlow.

Two-frame interpolation

  1. To interpolate a frame between arbitrary two frames you have, run interpolate_twoframe.py with following command.

    python interpolate_twoframe.py 
  2. Then you will have the interpolated output frame.

Results

  • Qualitativa results for large motion image
  • Qualitativa results for occlusion image

Additional Results Video

  • orignal video video

  • Interpolation result of video video

  • Two comparison videos (.results/test1.mp4 ./results/test2.pm4) Top left: original video; top right: interpolated video (MSEConv); bottom left: AdaCoF; bottom right: AdaCoF+.

Acknowledgements

This code is based on Lee/AdaCoF

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