Lihan Li

Hi, I'm Lihan Li (李砺涵), a student at Peking University, specifically at Yuanpei College.

My research interests and hobbies are detailed in my CV. I'm passionate about exploring the intersection of 3D computer vision, computer graphics.

Email  /  CV  /  Github  /  Resources  

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🔥 News

  • 📢 Actively seeking PhD or Research Assistant positions for 2026!
    I am looking for opportunities to pursue a PhD or work as a Research Assistant starting in 2026. Please feel free to reach out if you have relevant positions available.
    View my CV
  • 2025.01: Welcome to my personal website!

Publication

View my papers and projects here.

PointCNN++: Performant Convolution on Native Points
L. Li, H. Zhong, R. Bu, M. Sun, W. Chen, B. Chen, Y. Li
arXiv:2511.23227
paper

Existing convolutional learning methods for 3D point cloud data are divided into two paradigms: point-based methods that preserve geometric precision but often face performance challenges, and voxel-based methods that achieve high efficiency through quantization at the cost of geometric fidelity. We propose PointCNN++, a novel architectural design that fundamentally mitigates this precision-performance trade-off by generalizing sparse convolution from voxels to points, treating voxel-based convolution as a specialized, degraded case of our more general point-based convolution.

Robust Single-shot Structured Light 3D Imaging via Neural Feature Decoding
J. Li, Q. Dai, L. Li, et al.
SIGGRAPH Asia 2025

A learning-based structured light decoding framework utilizing neural feature embeddings for robust pixel correspondence, improving reconstruction accuracy in complex lighting and material conditions.


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