NeRF quality dataset for evaluating objective quality models

This repository hosts a dataset for Neural Radiance Field (NeRF) research. The dataset contains 102 synthesized stimuli, which were designed with non-overlapping scenes. These stimuli were generated using four state-of-the-art (SOTA) NeRF models: DVGO, InstantNGP, Plenoxels, and TensoRF, by systematically varying key quality parameters to create different quality levels. A remote subjective experiment was conducted to annotate the dataset following detailed guidelines. The collected opinion scores were processed to obtain the Mean Opinion Score (MOS) in accordance with the ITU-R BT.500-15 standard. The MOS scores are in a csv file named Subjective_mos. This dataset can be use to facilitate the refining of image quality assessment models for NeRF.Please cite this paper if you use the dataset.