JOURNAL ARTICLE

NeRF-QA: Neural Radiance Fields Quality Assessment Database

Abstract

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.

Keywords:
Computer science Radiance Quality assessment Quality (philosophy) Database Selection (genetic algorithm) Artificial intelligence Data mining Evaluation methods Reliability engineering Engineering Remote sensing

Metrics

14
Cited By
2.55
FWCI (Field Weighted Citation Impact)
26
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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