NeRF-QA: Neural Radiance Fields Quality Assessment Database
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Abstract (arXiv)
This short paper proposes a new database - NeRF-QA - containing 48 videos synthesized with seven NeRF based methods, along 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, specific for this case.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 May 2023.
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Citing papers per year: 2024: 1; 2025: 3; 2026: 1.
5 papers.
- 2025GS-QA: Comprehensive Quality Assessment Benchmark for Gaussian Splatting View Synthesiscited by 9
- 2024Explicit-NeRF-QA: A Quality Assessment Database for Explicit NeRF Model Compressioncited by 8
- 20253DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splattingcited by 6
- 20253DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compressioncited by 4
- 2026SpatialQ: Understanding 3D Gaussian Splatting Scene Quality via Visual-based MLLMcited by 0
- 2026SpatialQ: Understanding 3D Gaussian Splatting Scene Quality via Visual-based MLLM29 Jul 2026
- 20253DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compression9 Aug 2025
- 20253DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting17 Jun 2025
- 2025GS-QA: Comprehensive Quality Assessment Benchmark for Gaussian Splatting View Synthesis18 Feb 2025
- 2024Explicit-NeRF-QA: A Quality Assessment Database for Explicit NeRF Model Compression11 Jul 2024