Yunbi Liu — accepted AI-conference papers

2026

TAlignDiff: Automatic Tooth Alignment assisted by Diffusion-based Transformation Learning

Yunbi Liu, Enqi Tang, Shiyu Li, Hui Shuai, Lei Ma, Juncheng Li +4

CVPR 2026

Orthodontic treatment hinges on tooth alignment, which significantly affects occlusal function, facial aesthetics, and patients' quality of life. Current deep learning approaches often predict transformation matrices for the misaligned tooth point cloud via point-to-point geometric constraints to ac

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2022

DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations

Liangdong Qiu, Chongjie Ye, Pei Chen, Yunbi Liu, Xiaoguang Han, Shuguang Cui

CVPR 2022poster

Automatic tooth instance segmentation on 3D dental models is a fundamental task for computer-aided orthodontic treatments. Existing learning-based methods rely heavily on expensive point-wise annotations. To alleviate this problem, we are the first to explore a low-cost annotation way for 3D tooth i…

Cited by 37 PDF ↗Scholar ↗