2 papers
cs.CV2025
Large Kernel Modulation Network for Efficient Image Super-Resolution
Quanwei Hu, Yinggan Tang, Xuguang Zhang
Image super-resolution (SR) in resource-constrained scenarios demands lightweight models balancing performance and latency. Convolutional neural networks (CNNs) offer low latency b…
eess.IV2025
LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution
Yinggan Tang, Quanwei Hu
The success of self-attention (SA) in Transformer demonstrates the importance of non-local information to image super-resolution (SR), but the huge computing power required makes i…