Swift Parameter-free Attention Network for Efficient Super-Resolution

arXiv:2311.12770v2 Announce Type: replace-cross
Abstract: Single Image Super-Resolution (SISR) is a crucial task in low-level computer vision, aiming to reconstruct high-resolution images from low-resolution counterparts. Conventional attention mechanisms have significantly improved SISR performance but often result in complex network structures and large number of parameters, leading to slow inference speed and large model size. To address this issue, we propose the Swift Parameter-free Attention Network (SPAN), a highly efficient SISR model that balances parameter count, inference speed, and image quality. …

arxiv attention cs.cv eess.iv free network resolution swift type