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Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network
[article]
2018
arXiv
pre-print
The convolutional neural network model for optical flow estimation usually outputs a low-resolution(LR) optical flow field. To obtain the corresponding full image resolution,interpolation and variational approach are the most common options, which do not effectively improve the results. With the motivation of various convolutional neural network(CNN) structures succeeded in single image super-resolution(SISR) task, an end-to-end convolutional neural network is proposed to reconstruct the high
arXiv:1809.00588v1
fatcat:7dmv3yx5hnfyjppib2wkxidldu