Multi-depth branch network for efficient image super-resolution
A longstanding challenge in Super-Resolution (SR) is how to efficiently enhance high-
frequency details in Low-Resolution (LR) images while maintaining semantic coherence …
frequency details in Low-Resolution (LR) images while maintaining semantic coherence …
Multi-Depth Branches Network for Efficient Image Super-Resolution
H Tian, L Zhang, S Li, M Yao, G Pan - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Significant progress has been made in the field of super-resolution (SR), yet many
convolutional neural networks (CNNs) based SR models primarily focus on restoring high …
convolutional neural networks (CNNs) based SR models primarily focus on restoring high …
Multi-Depth Branches Network for Efficient Image Super-Resolution
H Tian, L Zhang, S Li, M Yao, G Pan - arXiv preprint arXiv:2309.17334, 2023 - arxiv.org
Significant progress has been made in the field of super-resolution (SR), yet many
convolutional neural networks (CNNs) based SR models primarily focus on restoring high …
convolutional neural networks (CNNs) based SR models primarily focus on restoring high …