结合注意力和残差聚合的图像超分辨率算法
姜继升， 徐开雄， 李华锋， 李凡 - Optical Technique, 2022 - opticsjournal.net
… In order to solve the problems of image structure … features between residual blocks, an
image super-resolution reconstruction algorithm combining attention and residual aggregation is …
image super-resolution reconstruction algorithm combining attention and residual aggregation is …
基于多维空间卷积信息增强的低质车牌信息超分辨率重建
张睿， 惠永科， 张延军， 潘理虎 - 计算机应用, 2024 - joca.cn
… (SSIM) of proposed network is 26.68dB, … super-resolution with Cascading Residual
Network(CARN) and N-Gram in Swin transformers for efficient lightweight image super-resolution(…
Network(CARN) and N-Gram in Swin transformers for efficient lightweight image super-resolution(…
基于感受野扩展残差注意力网络的图像超分辨率重建
郭琳， 刘坤虎， 马晨阳， 来佑雪， 徐映芬 - 计算机应用, 2024 - joca.cn
… two-layer structure of residual aggregation and dual-attention … Image Super-Resolution
(SISR) reconstruction. In this model, a two-layer nested network structure of residual aggregation …
(SISR) reconstruction. In this model, a two-layer nested network structure of residual aggregation …
基于像素对比学习的图像超分辨率算法
周登文， 刘子涵， 刘玉铠 - 自动化学报, 2024 - aas.net.cn
… residual feature fusion network (… function based on contrastive learning is proposed, which
can improve the fidelity and visual quality of SR images; 2) A lightweight multi-scale residual …
can improve the fidelity and visual quality of SR images; 2) A lightweight multi-scale residual …
[PDF][PDF] 轻量级图像超分辨率的蓝图可分离卷积Transformer 网络
毕修平， 陈实， 张乐飞 - 中国图象图形学报, 2024 - cjig.cn
… network for lightweight image super-resolution. Journal of … Lightweight bimodal network for
single-image super-resolution via … image superresolution algorithm based on deep residual …
single-image super-resolution via … image superresolution algorithm based on deep residual …
特征频率分组融合的轻量级图像超分辨率重建
高丹丹， 周登文， 王婉君， 马钰， 李珊珊 - 计算机辅助设计与图形学学报, 2023 - jcad.cn
… image super-resolution network based on grouping fusion of feature frequencies. Firstly, …
Enhanced deep residual networks for single image super-resolution[C] //Proceedings of the …
Enhanced deep residual networks for single image super-resolution[C] //Proceedings of the …
基于多层次特征融合的图像超分辨率重建
李金新， 黄志勇， 李文斌， 周登文 - 自动化学报, 2023 - aas.net.cn
… In this paper, we propose a lightweight multi-hierarchical feature fusion network for single
image super-resolution, whose main building blocks are the dual nested residual blocks. In …
image super-resolution, whose main building blocks are the dual nested residual blocks. In …
[PDF][PDF] 阁EasyChair Preprint
Y Gaikwad - 2021 - easychair.org
… Fu, “Image super resolution using very deep residual channel attention networks,” in …
Zhang, “Second-order attention network for single image super-resolution,” in Proceedings of the …
Zhang, “Second-order attention network for single image super-resolution,” in Proceedings of the …
MSPRL: 面向图像逆半色调的多尺度渐进式残差学习网络
李飞宇， 杨俊， 桑高丽 - 中国图象图形学报, 2024 - cjig.cn
… residual learning network(MSPRL),which is based on the UNet architecture and takes
multiscale input images… ,and Manga109)for image super-resolution,compared with that of the …
multiscale input images… ,and Manga109)for image super-resolution,compared with that of the …