Deep Learning, Artificial Intelligence, Convolutional Network, Super Resolution, Generative Adversarial.
merely 11.17%. The sparse activation provides weak supervision and thus leads to inferior performance. Second, using features after activation also causes inconsistent reconstructed brightness compared with the ground-truth image. Therefore, the total loss is: where Lpercep is the VGG loss, LGRA is