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Video Super Resolution with depth map and optical flow for unnatural object flow

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Main Goal

  1. optical flow net Module
  2. video object segmentation net Module
  3. depth map net Module
  4. super resolution net
  5. loss function with etc utils
  6. training(ToDo)
  7. testing(ToDo)

TODO

  • define new way to calculate flow-loss
  • Inference function on main.py

Copyright

  • The code and development ideas for this project are belonging to PlanNoa and Yudonggeun.

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Video Super Resolution with depth map and optical flow for unnatural object flow

Topics

optical-flow super-resolution depth-map object-segmentation video-super-resolution flownet2 video-object-segmentation mvdepthnet rgmp

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MIT license
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