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Multigrid Predictive Filter Flow for Unsupervised Learning on Videos
[article]
2019
arXiv
pre-print
We introduce multigrid Predictive Filter Flow (mgPFF), a framework for unsupervised learning on videos. The mgPFF takes as input a pair of frames and outputs per-pixel filters to warp one frame to the other. Compared to optical flow used for warping frames, mgPFF is more powerful in modeling sub-pixel movement and dealing with corruption (e.g., motion blur). We develop a multigrid coarse-to-fine modeling strategy that avoids the requirement of learning large filters to capture large
arXiv:1904.01693v1
fatcat:ssyaqyvl5bg7dgh4yml7zlziqu