학술논문

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results
Document Type
Conference
Author
Li, YaweiZhang, YulunTimofte, RaduVan Gool, LucYu, LeiLi, YouweiLi, XinpengJiang, TingWu, QiHan, MingyanLin, WenjieJiang, ChengzhiLuo, JintingFan, HaoqiangLiu, ShuaichengWang, YucongCai, MinjieLi, MingxiZhang, YuhangFan, Xian-JunSheng, YankaiMao, YanyuZhang, NihaoWang, QianZheng, MingjunSun, LongPan, JinshanDong, JiangxinTang, JinhuiYang, ZhongbaoWang, YanPan, ErlinCai, QixuanDai, XinanZhussip, MagauiyaKalyazin, NikolayVyal, DmitryZou, XueyiYan, YouliangChung, HeaseoZhang, JinYu, GaochengZhang, FengWang, HongbinLiao, BohaoDu, ZhiboWu, Yu-LiangShi, GegePeng, LongWang, YangCao, YangZha, ZhengjunHuang, Zhi-KaiChen, Yi-ChungChiang, Yuan-ChunYang, Hao-HsiangChen, Wei-TingChang, Hua-EnChen, I-HsiangHsieh, Chia-HsuanKuo, Sy-YenLiu, XinPan, JiahaoYu, HongyuanYu, WeichenGe, LinDong, JiahuaZou, YajunWu, ZhuoyuanHan, BinnanZhang, XiaolinZhang, HengYin, XuanwuZuo, KunlongDeng, WeijianYuan, HongjieLu, ZengtongOuyang, MingyuMa, WenzhuoLiu, NianZheng, HanyouZhang, YuantongZhang, JunxiChen, ZhenzhongGendy, GarasSabor, NabilHou, JingchaoHe, GuanghuiZhu, YuruiWang, XiFu, XueyangZha, Zheng-JunYin, DahengLiu, MengyangChen, BaijunLi, AoLuo, LeiJin, KangjunZhu, CeZhang, XiaomingXie, ChengxingLi, LinzeMeng, HaitengZhang, TianlinLi, TianruiZhao, XiaoleZhang, ZhaoLi, BaiangZheng, HuanZhao, SuiyiGao, YangchengRen, JiahuanHu, KangShi, JingpengWu, ZhijianHuang, DingjiangZhu, JinchenLi, HuiXv, QianruLiu, TianleWeng, ShizhuangWu, GangJiang, JunpengLiu, XianmingJiang, JunjunZhang, MingjianHu, JingWu, ChengxuFan, QinruiFeng, ChengmingLuo, ZiweiHu, ShuLyu, SiweiWu, XiWang, Xin
Source
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 IEEE/CVF Conference on. :1922-1960 Jun, 2023
Subject
Computing and Processing
Engineering Profession
Training
Measurement
Computer vision
Runtime
Conferences
Computational modeling
Superresolution
Language
ISSN
2160-7516
Abstract
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.