EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
Code is a bit messy now. I woud clean up soon.
For training the EFENet using the warping and fusion strategy proposed in our paper, run ./qsub_train_exp18.sh
For CrossNet with other warping and fusion strategies to perform reference-based video super-resolution (RefVSR), refer to other running file like "qsub_train_[id instead of 18].sh". More details would be given soon to distiguish each of those strategies.
The COVID-Net models provided here are intended to be used as reference models that can be built upon and enhanced as new data becomes available
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