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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. Beyond research, I enjoy food, travel, badminton, and running, and I am also fond of Japanese mahjong and Chinese chess. :D |
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🔥 News
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PublicationView my papers and projects here. |
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PointCNN++: Performant Convolution on Native Points
L. Li, H. Zhong, R. Bu, M. Sun, W. Chen, B. Chen, Y. Li CVPR 2026 paper / code 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. |
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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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Design from Jon Barron's web |
