GitHub / EdoardoGruppi / AMLS_II_assignment20_21

This project is aimed to develop powerful and lightweight networks to address the two tasks presented in the NTIRE 2017 SuperResolution Challenge. The two deep learning models proposed, i.e. a CNN and a GAN, achieved satisfactory results demonstrating an important ability in introducing high-frequency information to the original low resolution images.

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Topics: computer-vision, content-loss, convolutional-neural-networks, deep-learning, generative-adversarial-network, single-image-super-resolution, super-resolution

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