{"ID":2884433,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.07038","arxiv_id":"2508.07038","title":"3DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compression","abstract":"3D Gaussian Splatting (3DGS) enables real-time novel view synthesis with high visual fidelity, but its substantial storage requirements hinder practical deployment, prompting state-of-the-art (SOTA) 3DGS methods to incorporate compression modules. However, these 3DGS generative compression techniques introduce unique distortions lacking systematic quality assessment research. To this end, we establish 3DGS-VBench, a large-scale Video Quality Assessment (VQA) Dataset and Benchmark with 660 compressed 3DGS models and video sequences generated from 11 scenes across 6 SOTA 3DGS compression algorithms with systematically designed parameter levels. With annotations from 50 participants, we obtained MOS scores with outlier removal and validated dataset reliability. We benchmark 6 3DGS compression algorithms on storage efficiency and visual quality, and evaluate 15 quality assessment metrics across multiple paradigms. Our work enables specialized VQA model training for 3DGS, serving as a catalyst for compression and quality assessment research. The dataset is available at https://github.com/YukeXing/3DGS-VBench.","short_abstract":"3D Gaussian Splatting (3DGS) enables real-time novel view synthesis with high visual fidelity, but its substantial storage requirements hinder practical deployment, prompting state-of-the-art (SOTA) 3DGS methods to incorporate compression modules. However, these 3DGS generative compression techniques introduce unique d...","url_abs":"https://arxiv.org/abs/2508.07038","url_pdf":"https://arxiv.org/pdf/2508.07038v1","authors":"[\"Yuke Xing\",\"William Gordon\",\"Qi Yang\",\"Kaifa Yang\",\"Jiarui Wang\",\"Yiling Xu\"]","published":"2025-08-09T16:47:19Z","proceeding":"eess.IV","tasks":"[\"eess.IV\",\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":611079,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2884433,"paper_url":"https://arxiv.org/abs/2508.07038","paper_title":"3DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compression","repo_url":"https://github.com/YukeXing/3DGS-VBench","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}