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GScomp-QA: A Subjective Dataset for Quality Assessment of Compressed Gaussian Splatting
Gaussian Splatting (GS) has emerged as an efficient representation for high-quality 3D reconstruction and novel view synthesis. However, its large model size poses challenges for storage and transmission. While several GS compression solutions have been proposed, their perceptual impact remains poor
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