4 papers · 1 filter
SPARE-GS: Structural Parsimony and Resource Efficiency for 3D Gaussian Splatting
Zhang Chen, Shuai Wan, Fuzheng Yang +3
3D Gaussian Splatting (3DGS) achieves high-fidelity novel view synthesis in real-time; however its training efficiency and representation compactness are hindered by excessive prim…
REFINE: Super-efficient 3D Gaussian Splatting Pruning via Rendering-Free Primitive Importance
Zhang Chen, Shuai Wan, Mengting Yu +2
Existing pruning methods for 3D Gaussian splatting (3DGS) suffer from either severe quality degradation or prohibitive computational overhead. In this paper, we propose REFINE, a h…
Objective Quality Assessment of Point Clouds Using Multi-scale Implicit Structural Similarity
Zhang Chen, Shuai Wan, Yuezhe Zhang +3
The unstructured and irregular nature of points poses a significant challenge for accurate point cloud quality assessment (PCQA), particularly in establishing accurate perceptual f…
RBFIM: Perceptual Quality Assessment for Compressed Point Clouds Using Radial Basis Function Interpolation
Zhang Chen, Shuai Wan, Siyu Ren +3
One of the main challenges in point cloud compression (PCC) is how to evaluate the perceived distortion so that the codec can be optimized for perceptual quality. Current standard…