3 papers
cs.CV2026
RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction for Efficient 3D Gaussian Splatting Processing
Kaifa Yang, Qi Yang, Yiling Xu +1
3D Gaussian Splatting (3DGS) has emerged as a leading technology for high-quality 3D scene reconstruction. However, the iterative refinement and densification process leads to the…
cs.CV2025
Lightweight 3D Gaussian Splatting Compression via Video Codec
Qi Yang, Geert Van Der Auwera, Zhu Li
Current video-based GS compression methods rely on using Parallel Linear Assignment Sorting (PLAS) to convert 3D GS into smooth 2D maps, which are computationally expensive and tim…
eess.IV2025
J-SGFT: Joint Spatial and Graph Fourier Domain Learning for Point Cloud Attribute Deblocking
Muhammad Talha, Qi Yang, Zhu Li +2
Point clouds (PC) are essential for AR/VR and autonomous driving but challenge compression schemes with their size, irregular sampling, and sparsity. MPEG's Geometry-based Point Cl…