Deep Learning, Artificial Intelligence, Convolutional Network, Super Resolution, Generative Adversarial.
for any feasible without introducing artifacts. Second, we can continuously balance perceptual quality and fidelity without re-training the model. 5. Ablation Study 5.1. Data Training Data: DIV2K that contains 800 images, Flickr2K dataset that consisting of 2650 2K high-resolution images, and