2024
Low Redundant Attention Network for Efficient Image Super-Resolution
ICASSP 2024accepted
Transformer-based models have demonstrated impressive performance in image super-resolution (SR), but they come with a high computational overhead. In this paper, we present a low redundant attention network (LRAN) for efficient image SR. We observe that there is significant similarity in attention…