iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
As the title of the issue says, if I run inference using the -u option I still get the same resolution output image as the input image I provide. Does -u only work for certain resolutions?
As the title of the issue says, if I run inference using the -u option I still get the same resolution output image as the input image I provide. Does -u only work for certain resolutions?