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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EdoardoGruppi%2FAMLS_II_assignment20_21
PURL: pkg:github/EdoardoGruppi/AMLS_II_assignment20_21
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 136 KB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: over 4 years ago
Pushed at: over 4 years ago
Last synced at: over 1 year ago
Topics: computer-vision, content-loss, convolutional-neural-networks, deep-learning, generative-adversarial-network, single-image-super-resolution, super-resolution