Jia-Hui Nan

Enhanced Lightweight Image Super-Resolution via Residual Aggregation and Wavelet Loss

Image super-resolution (SR), which aims to reconstruct a high-resolution image from a low-resolution input, has progressed from convolutional neural networks (CNNs) to transformer-based architectures. Despite this progress, lightweight transformer SR remains challenging: local or window-based operations provide limited...