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20202026
most citedWhich One is Better: Assessing Objective Metrics for Point Cloud Compression

3 citations · 7 across the 13 of their papers we have counts for

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14 papers · 1 filter

cs.CV2026

3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment

Yuke Xing, Jiarui Wang, William Gordon +3

3D Gaussian Splatting (3DGS) has become a dominant representation for real-time novel view synthesis (NVS), yet its storage footprint makes compression indispensable for practical…

cs.CV2025

Point Cloud Compression and Objective Quality Assessment: A Survey

Yiling Xu, Yujie Zhang, Shuting Xia +6

The rapid growth of 3D point cloud data, driven by applications in autonomous driving, robotics, and immersive environments, has led to criticals demand for efficient compression a…

cs.CV2025

3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting

Yuke Xing, Jiarui Wang, Peizhi Niu +3

3D Gaussian Splatting (3DGS) has emerged as a promising approach for novel view synthesis, offering real-time rendering with high visual fidelity. However, its substantial storage…

cs.CV2025

Rasterizing Wireless Radiance Field via Deformable 2D Gaussian Splatting

Mufan Liu, Cixiao Zhang, Qi Yang +6

Modeling the wireless radiance field (WRF) is fundamental to modern communication systems, enabling key tasks such as localization, sensing, and channel estimation. Traditional app…

cs.CV2025

DPCD: A Quality Assessment Database for Dynamic Point Clouds

Yating Liu, Yujie Zhang, Qi Yang +3

Recently, the advancements in Virtual/Augmented Reality (VR/AR) have driven the demand for Dynamic Point Clouds (DPC). Unlike static point clouds, DPCs are capable of capturing tem…

cs.CV2025

ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction

He Huang, Qi Yang, Mufan Liu +2

Existing 4D Gaussian Splatting methods rely on per-Gaussian deformation from a canonical space to target frames, which overlooks redundancy among adjacent Gaussian primitives and r…