Weiqi Zhang | 张伟琪

I am currently a second-year Master student (since fall, 2023) majoring in Software Engineering in School of Software, Tsinghua University, supversied by Prof. Yu-Shen Liu.

My research interests lie in the area of 3D computer vision and grapics, including 3D reconstruction, generative models and 3D foundation models.

Email  /  Google Scholar  /  Github

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News
  • 06/2025: Our paper GAP got accepted to ICCV 2025.
  • 02/2025: Our paper Bijective-SDF got accepted to CVPR 2025.
  • 09/2024: Our papers DiffGS and MultiPull are accepted to NeurIPS 2024.
  • 03/2024: Our paper UDiFF on open surface generation got accepted to CVPR 2024.
  • 09/2023: Started master journey at Tsinghua University.
Research

(* Equal Contribution)
GAP: Gaussianize Any Point Clouds with Text Guidance
Weiqi Zhang*, Junsheng Zhou*, Haotian Geng*, Wenyuan Zhang, Yu-Shen Liu,
IEEE/CVF International Conference on Computer Vision, (ICCV), 2025
project page | arXiv | code

GAP gaussianizes raw point clouds into high-fidelity 3D Gaussians with text guidance via depth-aware diffusion and surface-anchored optimization.

Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
Takeshi Noda*, Chao Chen*, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu, Zhizhong han
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
project page | arXiv | code

Bijective-SDF improves 3D surface reconstruction from sparse point clouds by learning bijective surface parameterization and optimizing grid deformation.

DiffGS: Functional Gaussian Splatting Diffusion
Junsheng zhou*, Weiqi Zhang*, Yu-Shen Liu,
Conference on Neural Information Processing Systems (NeurIPS), 2024
project page | arXiv | code

DiffGS is a powerful and efficient 3D generative model capable of generating Gaussian primitives in arbitrary numbers, with a functional disentanglement of Gaussian Splatting.

MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
Takeshi Noda*, Chao Chen*, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong han
Conference on Neural Information Processing Systems (NeurIPS), 2024
project page | arXiv | code

MultiPull is a novel method that improves 3D surface reconstruction from point clouds by optimizing multi-scale implicit fields and leveraging frequency features.

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
Junsheng zhou*, Weiqi Zhang*, Baorui Ma, Yu-Shen Liu, Kanle Shi, Zhizhong han
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
project page | arXiv | code

We present UDiFF, a 3D diffusion model for unsigned distance fields (UDFs) which is capable to generate textured 3D shapes with open surfaces from text conditions or unconditionally.

Honors and Awards
  • Sichuan Province outstanding university graduates(省级优秀毕业生 Top 1%), 2023.
  • National Scholarship (国家奖学金, Top 1%), 2022, 2021.
Academic Services

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Last updated: July 2025