NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
Xiaohong LiuXiongkuo MinGuangtao ZhaiChunyi LiTengchuan KouWei SunHaoning WuYixuan GaoYuqin CaoZicheng ZhangXiele WuRadu TimofteFei PengHuiyuan FuAnlong MingChuanming WangHuadong MaShuai HeZifei DouShu ChenHuacong ZhangHaiyi XieChengwei WangBaoying ChenJishen ZengJianquan YangWeigang WangXi FangXiaoxin LvJun YanTianwu ZhiYabin ZhangYaohui LiYang LiJingwen XuJianzhao LiuYiting LiaoJunlin LiZihao YuYiting LuXin LiHossein MotamedniaS. Farhad Hosseini-BenvidiFengbin GuanAhmad Mahmoudi-AznavehAzadeh MansouriGanzorig GankhuyagKihwan YoonYifang XuHaotian FanFangyuan KongShiling ZhaoWeifeng DongHaibing YinLi ZhuZhiling WangBingchen HuangAvinab SahaSandeep MishraShashank GuptaRajesh SureddiOindrila SahaLuigi CelonaSimone BiancoPaolo NapoletanoRaimondo SchettiniJunfeng YangJing FuWei ZhangWenzhi CaoLimei LiuHan PengWeijun YuanZhan LiYihang ChengYifan DengHaohui LiBowen QuYao LiShuqing LuoShunzhou WangWei GaoZihao LuMarcos V. CondeXinrui WangZhibo ChenRuling LiaoYan YeQiulin WangBing LiZhaokun ZhouMiao GengRui ChenXin TaoXiaoyu LiangShangkun SunXingyuan MaJiaze LiMengduo YangHaoran XuPublished in: CoRR (2024)
Keyphrases
- quality assessment
- image and video processing
- artificial intelligence
- image quality
- image quality assessment
- video quality
- data quality
- post treatment
- perceived quality
- video summaries
- human visual system
- machine learning
- metadata
- databases
- image retrieval
- quality metrics
- database systems
- subjective quality
- multimedia
- automatic evaluation