May 7, 2024, 4:43 a.m. | Xiaoyan Lei, Wenlong ZHang, Weifeng Cao

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.03008v1 Announce Type: cross
Abstract: Efficient Image Super-Resolution (SR) aims to accelerate SR network inference by minimizing computational complexity and network parameters while preserving performance. Existing state-of-the-art Efficient Image Super-Resolution methods are based on convolutional neural networks. Few attempts have been made with Mamba to harness its long-range modeling capability and efficient computational complexity, which have shown impressive performance on high-level vision tasks. In this paper, we propose DVMSR, a novel lightweight Image SR network that incorporates Vision Mamba and …

arxiv cs.cv cs.lg eess.iv mamba resolution type vision

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