This short paper proposes a new database - NeRF-QA - containing 48 videos synthesized with seven NeRF based methods, together with their perceived quality scores, resulting from subjective assessment tests; for the videos selection, both real and synthetic, 360 degrees scenes were considered. This database will allow to evaluate the suitability, to NeRF based synthesized views, of existing objective quality metrics, and also the development of new quality metrics.
Chen WangXian WuYuan-Chen GuoSong–Hai ZhangYu‐Wing TaiShi-Min Hu
Yuke XingQi YangKaifa YangYiling XuZhu Li
Zonxin YeWenyu LiPeng QiaoYong Dou
Qiangeng XuZexiang XuJulien PhilipSai BiZhixin ShuKalyan SunkavalliUlrich Neumann
Ze-Xin YinPengyi JiaoJiaxiong QiuMing‐Ming ChengBo Ren