•Qunce XU

•assistant researcher

• Department of Computer Science and Technology

• Joined Department: 2025

• Email: quncexu@tsinghua.edu.cn

Education background

Bachelor of Computer Science, Lanzhou University, Gansu, China, 2016;

Ph.D. in Computer Science, University of Bath, UK, 2021.

Areas of Research Interests

Computer Graphics; Geometric Computing; Artificial Intelligence

Research Status

My research primarily focuses on computer graphics, with a particular emphasis on 3D geometric reconstruction. In the area of 3D geometric data processing and modeling, I have proposed methods for point cloud denoising based on a generalized metric and optimization of surface mesh quality using anisotropic techniques. In 3D content editing, I have developed an algorithm and tool for segmentation based on Gaussian splatting. For dynamic 3D reconstruction, I have introduced an efficient modeling method based on sparse neural radiance fields. Additionally, in the field of fragment-based 3D reconstruction, I have proposed a deep learning algorithm for fragment assembly based on diffusion models.

Academic Achievement

[1] Qun-Ce Xu, Bailin Deng, Yong-Liang Yang. Ellipsoid Packing Structures on Freeform Surfaces. Computer Graphics Forum 2018, 37(7): 87-95.

[2] Qun-Ce Xu, Dong-Ming Yan, Wenbin Li, Yong-Liang Yang. Anisotropic Surface Remeshing without Obtuse Angles. Computer Graphics Forum 2019, 38(7): 755-763.

[3] Yassir Saquil, Qun-Ce Xu, Yong-Liang Yang, Peter Hall. Rank3DGAN: Semantic Mesh Generation Using Relative Attributes. AAAI 2020: 5586-5594.

[4] Qun-Ce Xu, Tai-Jiang Mu, Yong-Liang Yang: A survey of deep learning-based 3D shape generation. Comput. Vis. Media 9(3): 407-442 (2023).

[5] Qun-Ce Xu, Yong-Liang Yang, Bailin Deng: Point cloud denoising using a generalized error metric. Graph. Model. 133: 101216 (2024).

[6] Mingyuan Shen, Qun-Ce Xu, Tai-Jiang Mu: Disentangling Head NeRF for 3D Facial Animation. Computational Visual Media Conference 2024.

[7] Qi-Yuan Feng, Hao-Xiang Chen, Qun-Ce Xu (Corresponding author), Tai-Jiang Mu: SLS4D: Sparse Latent Space for 4D Novel View Synthesis. IEEE Transactions on Visualization and Computer Graphics DOI: 10.1109/TVCG.2024.3429421 Page(s): 1–14.

[8] Qun-Ce Xu, Hao-Xiang Chen, Jiacheng Hua, Xiaohua Zhan, Yongliang Yang, Tai-Jiang Mu: FragmentDiff: A Diffusion Model for Fractured Object Assembly. In SIGGRAPH Asia 2024 Conference Papers (pp. 1-12).

[9] Qi-Yuan Feng, Geng-Chen Cao, Hao-Xiang Chen, Qun-Ce Xu (Corresponding author), Tai-Jiang Mu, Ralph Martin, Shi-Min Hu: EVSplitting: An Efficient and Visually Consistent Splitting Algorithm for 3D Gaussian Splatting. In SIGGRAPH Asia 2024 Conference Papers (pp. 1-11).

[10] Qun-Ce Xu, Yan-Pei Cao, Weihao Cheng, Tai-Jiang Mu, Ying Shan, Yongliang Yang, Shi-Min Hu: High-accuracy Fractured Object Reassembly under Arbitrary Poses. Computational Visual Media Conference 2025 (Accepted).