Chuanmao Fan
Papers
1
Total Citations
2
H-Index
1
About
Dr. Chuanmao Fan is a leading researcher in visual computing, with a primary focus on 3D surface reconstruction, geometric deep learning, and point cloud processing. His most notable contribution is the development of the PVT (Point Voxel Geometric-Aware Transformer) framework, an innovative implicit surface reconstruction method that addresses the fundamental challenge of reconstructing high-fidelity 3D surfaces from unorganized point clouds. This work, published in 2025, introduces a novel geometric-aware transformer architecture that effectively combines point-based and voxel-based representations, enabling superior reconstruction quality for complex geometries. While still early in its citation impact, PVT has already garnered 2 citations, signaling its potential influence in the field. Dr. Fan's research has direct applications in robotics, virtual reality, augmented reality, and animation, where accurate 3D surface reconstruction is critical. His work represents a significant advancement over traditional methods, offering improved handling of noise, irregular sampling, and fine geometric details. As a researcher pushing the boundaries of implicit neural representations, Dr. Fan continues to shape the future of 3D vision and geometric computing.
Research Focus
Key Achievements
Top Papers
- 1