OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network

• Published in: Proceedings / IEEE Workshop on Applications of Computer Vision pp. 2693 - 2702
• Main Authors: Behjati, Parichehr, Rodriguez, Pau, Mehri, Armin, Hupont, Isabelle, Tena, Carles Fernandez, Gonzalez, Jordi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2021
• Subjects: Computational modeling; Data mining; Feature extraction; Memory management; Noise reduction; Superresolution; Training

Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs). However, as the depth and width of the networks increase, CNN-based SR methods have been faced with the challenge of computational complexity in practice. More-over, most SR methods...