NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Yu Lei, Youwei Li, Xinpeng Li, Ting Jiang 等 137 位
ETH Zurich
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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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计算机 / AIAdvanced Image Processing Techniques
Advanced Vision and Imaging · Image Processing Techniques and Applications
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