40 citations · 40 across the 7 of their papers we have counts for
5 papers · 1 filter
Learning Dynamic Scene Reconstruction with Sinusoidal Geometric Priors
Tian Guo, Hui Yuan, Philip Xu +1
We propose SirenPose, a novel loss function that combines the periodic activation properties of sinusoidal representation networks with geometric priors derived from keypoint struc…
UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds
Pan Zhao, Hui Yuan, Chongzhen Tian +3
Lossy compression of point clouds reduces storage and transmission costs; however, it inevitably leads to irreversible distortion in geometry structure and attribute information. T…
STQE: Spatial-Temporal Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
Tian Guo, Hui Yuan, Xiaolong Mao +3
Very few studies have addressed quality enhancement for compressed dynamic point clouds. In particular, the effective exploitation of spatial-temporal correlations between point cl…
High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC
Yuxuan Wei, Zehan Wang, Tian Guo +3
Point clouds, which directly record the geometry and attributes of scenes or objects by a large number of points, are widely used in various applications such as virtual reality an…
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification
Tian Guo, Chen Chen, Hui Yuan +3
Point cloud sampling plays a crucial role in reducing computation costs and storage requirements for various vision tasks. Traditional sampling methods, such as farthest point samp…