84 citations · 172 across the 15 of their papers we have counts for
6 papers · 1 filter
G-Skin: Learning to Bind 3D Gaussians with Generative Visual Priors
Yuxin Yao, Kendong Liu, Shiqi Zhou +2
3D Gaussian Splatting has achieved remarkable success in photorealistic and efficient rendering, leading to a rapid increase in 3D assets represented by 3D Gaussian primitives. Dir…
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…
FlexPara: Flexible Neural Surface Parameterization
Yuming Zhao, Qijian Zhang, Junhui Hou +3
Surface parameterization is a fundamental geometry processing task, laying the foundations for the visual presentation of 3D assets and numerous downstream shape analysis scenarios…
LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation
Chenxu Zhou, Lvchang Fu, Sida Peng +5
This paper targets the challenge of real-time LiDAR re-simulation in dynamic driving scenarios. Recent approaches utilize neural radiance fields combined with the physical modeling…
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
Wei Zeng, Chengqiao Lin, Juncong Lin +4
Deep learning methods are being increasingly used for urban traffic prediction where spatiotemporal traffic data is aggregated into sequentially organized matrices that are then fe…
Scale-Invariant Structure Saliency Selection for Fast Image Fusion
Yixiong Liang, Yuan Mao, Jiazhi Xia +2
In this paper, we present a fast yet effective method for pixel-level scale-invariant image fusion in spatial domain based on the scale-space theory. Specifically, we propose a sca…