17 citations · 18 across the 10 of their papers we have counts for
4 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…
PCE-GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement based on Optimal Transport
Tian Guo, Hui Yuan, Qi Liu +3
Point cloud compression significantly reduces data volume but sacrifices reconstruction quality, highlighting the need for advanced quality enhancement techniques. Most existing ap…
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…