足迹
计算机科学
内存占用
光学(聚焦)
失败
图像(数学)
分辨率(逻辑)
图像分辨率
超分辨率
人工智能
并行计算
古生物学
物理
光学
生物
操作系统
作者
Yawei Li,Yulun Zhang,Radu Timofte,Luc Van Gool,Yu Lei,Youwei Li,Xinpeng Li,Ting Jiang,Qi Wu,Mingyan Han,Wenjie Lin,Chengzhi Jiang,Jinting Luo,Haoqiang Fan,Shuaicheng Liu,Yucong Wang,Minjie Cai,Mingxi Li,Yuhang Zhang,Fan Xian-jun
标识
DOI:10.1109/cvprw59228.2023.00189
摘要
This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution.
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