Presents GScomp-QA dataset with subjective perceptual scores for compressed Gaussian Splatting, enabling rate-distortion analysis and showing that 18 objective metrics fail to fully capture GS-specific distortions.
IEEE Transactions on Visualization and Computer Graphics 31, 8 (2025), 4429–4449
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GScomp-QA: A Subjective Dataset for Quality Assessment of Compressed Gaussian Splatting
Presents GScomp-QA dataset with subjective perceptual scores for compressed Gaussian Splatting, enabling rate-distortion analysis and showing that 18 objective metrics fail to fully capture GS-specific distortions.