GS-QA: Comprehensive Quality Assessment Benchmark for Gaussian Splatting View Synthesis

GS-QA Database

Paper: https://arxiv.org/abs/2502.13196

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

Authors: Pedro Martin, António Rodrigues, João Ascenso, Maria Paula Queluz

The GS-QA database contains:

• Synthesized videos by 7 different GS methods used with 8 different visual scenes (in the "Synthesized Videos" folder);
• Reference videos of the corresponding visual scenes (in the "Reference Videos" folder);
• Results of a subjective study comparing the qualities of the reference and synthesized videos by a group of 22 participants (in the "dmos.xlsx" file);
• Quality prediction results of a selection of 19 objective quality metrics on the reference and synthesized material (in the "metrics.xlsx" file);
• Training dataset used for the GS methods training (in the "Datasets" folder).

Click for more information about:

• Selected Visual Scenes
• Selected GS Methods
• Selected Quality Metrics

Citation

P. Martin, A. Rodrigues, J. Ascenso, and M. P. Queluz, "GS-QA: Comprehensive Quality Assessment Benchmark for Gaussian Splatting View Synthesis", arXiv preprint arXiv:2502.13196, 2025.