3 citations · 3 across the 5 of their papers we have counts for
5 papers
Depth-Consistent 3D Gaussian Splatting via Physical Defocus Modeling and Multi-View Geometric Supervision
Yu Deng, Baozhu Zhao, Junyan Su +2
Three-dimensional reconstruction in scenes with extreme depth variations remains challenging due to inconsistent supervisory signals between near-field and far-field regions. Exist…
GarmentX: Autoregressive Parametric Representations for High-Fidelity 3D Garment Generation
Jingfeng Guo, Jinnan Chen, Weikai Chen +6
This work presents GarmentX, a novel framework for generating diverse, high-fidelity, and wearable 3D garments from a single input image. Traditional garment reconstruction methods…
Metamon-GS: Enhancing Representability with Variance-Guided Densification and Light Encoding
Junyan Su, Baozhu Zhao, Xiaohan Zhang +1
The introduction of 3D Gaussian Splatting (3DGS) has advanced novel view synthesis by utilizing Gaussians to represent scenes. Encoding Gaussian point features with anchor embeddin…
AG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene Rendering
Jingfeng Guo, Xiaohan Zhang, Baozhu Zhao +1
Existing neural radiance fields (NeRF)-based novel view synthesis methods for large-scale outdoor scenes are mainly built on a single altitude. Moreover, they often require a prior…
PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global Features
Baozhu Zhao, Qiwei Xiong, Xiaohan Zhang +4
Three-dimensional point cloud anomaly detection that aims to detect anomaly data points from a training set serves as the foundation for a variety of applications, including indust…