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 with 86 participants 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.csv. This dataset can be use to facilitate the refining of image quality assessment models for NeRF.