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EDVR: Video Restoration With Enhanced Deformable Convolutional Networks
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Video restoration tasks, including super-resolution, deblurring, etc, are drawing increasing attention in the computer vision community. A challenging benchmark named REDS is released in the NTIRE19 Challenge. This new benchmark challenges existing methods from two aspects: (1) how to align multiple frames given large motions, and (2) how to effectively fuse different frames with diverse motion and blur. In this work, we propose a novel Video Restoration framework with Enhanced Deformable
doi:10.1109/cvprw.2019.00247
dblp:conf/cvpr/WangCYDL19
fatcat:3dcfvfjqtbfodb2fxixc3tawte