[
    {
        "id": "osp-25165",
        "type": "article-journal",
        "title": "3dgs-sc: a controlled static screen-content benchmark for 3d gaussian splatting",
        "author": [
            {
                "family": "Cai",
                "given": "Shicheng"
            },
            {
                "family": "Zhang",
                "given": "Hao"
            },
            {
                "family": "Dai",
                "given": "Dong"
            },
            {
                "family": "Ma",
                "given": "Xuerui"
            },
            {
                "family": "Hu",
                "given": "Ying"
            },
            {
                "family": "Zhang",
                "given": "Tao"
            }
        ],
        "URL": "https://omanscience.com/en/articles/3dgs-sc-a-controlled-static-screen-content-benchmark-for-3d-gaussian-splatting",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2026
                ]
            ]
        },
        "abstract": "Does high image fidelity imply readable screen content in 3D Gaussian Splatting (3DGS)? We introduce 3DGS-SC, a controlled static screen-content dataset and benchmark for examining this mismatch. Ten procedural scenes provide fixed multi-view splits, exact cameras, screen masks, text boxes, and transcripts. The protocol separates whole-image fidelity, screen-region fidelity, OCR readability, and edge preservation. In the reported five-method comparison, LightGaussian exceeds Mip-Splatting in screen PSNR by only 0.08 dB, yet trails it in OCR accuracy by 12.7 percentage points. Across all ten method pairs, screen-PSNR and OCR orderings disagree in seven cases. These aggregate results expose a method-selection failure of fidelity-only evaluation. Complementing prior text-aware 3DGS research, 3DGS-SC targets controlled monitor interfaces and exact annotations; scene-wise robustness and acquisition effects remain open validation questions."
    }
]