Ruihui Li

Professional Overview

Prof. Ruihui Li is a faculty member at the College of Computer Science and Electronic Engineering, Hunan University, specializing in Deep Geometry Learning, Generative Modeling, and 3D Vision. His work focuses on advancing 3D reconstruction and generation with high controllability, particularly in applications like point cloud upsampling and neural rendering.

Education & Career

Dr. Li earned his Ph.D. in 2021 (oral defense passed in June 2021). His career includes significant contributions to research in geometric deep learning and 3D computer graphics. He actively collaborates with institutions like the Chinese University of Hong Kong and Tel Aviv University on projects such as PU-GAN and SP-GAN.

Research Interests

His research spans cutting-edge topics in:

• Neural Wavelet-Domain Diffusion for 3D Shape Generation
• Topology-Aware 3D Mesh Reconstruction
• Camera-Based 3D Scene Completion
• Point Cloud Analysis and Upsampling

Professional Activities

Dr. Li has delivered invited talks at prestigious events such as the Asia Graphics Webinar and Peking University. He serves as a reviewer for top conferences (CVPR, ICCV, ECCV) and journals (TPAMI, TVCG). His research is supported by grants from the National Natural Science Foundation of China and the Chinese Academy of Sciences.

Technical Contributions

Key projects include:

• PU-GAN: A point cloud upsampling adversarial network (ICCV 2019).
• SP-GAN: Sphere-guided 3D shape generation (SIGGRAPH 2021).
• Neural Wavelet-domain Diffusion: 3D shape generation and manipulation (TOG 2024).

Labs & Teams

He leads a research group at Hunan University, mentoring Ph.D./MPhil students, RAs, and postdocs. His team focuses on interdisciplinary projects combining AI, computer graphics, and geometric deep learning.