Multi-Frame Super-Resolution based on Temporal Shift Module
We took part in the Megvii 1st Open-Source Super Resolution Competition and got PSNR31.07 in Round 1. We need 10 hours for training our model in a V100 GPU card.
We use TSM modules to fuse information from multiple frames, and the backbone of the network is a simplified DenseNet.
opencv-python
tensorboardX