Zeran Ke

I am a fourth year PhD student at the School of Computer Science, Wuhan University under the co-supervision of Prof. Nan Xue and Gui-Song Xia. I am now a research intern at Ant Research.

My current research mainly focuses on 3D scene reconstruction, understanding, and generation with geometric structures.

Google Scholar  /  Github  /  Email

profile photo
Recent News

[10/2025]: One paper (Plana3r) is accepted to NeurIPS 2025 (San Diego, U.S.).

[04/2025]: One paper (ScaleLSD) is accepted to CVPR 2025 (Nashville, U.S.).

Publications

* indicates equal contribution, indicates the corresponding author

b3do PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-Forward Planar Splatting
Changkun Liu*, Bin Tan*, Zeran Ke, Shangzhan Zhang, Jiachen Liu, Ming Qian, Nan Xue†, Yujun Shen, Tristan Braud
NeurIPS, 2025
arXiv / Project / Code

This paper addresses metric 3D reconstruction of indoor scenes by using planar 3D primitives and exploiting their inherent geometric regularities with compact representations. Given two images captured from the same scene, PLANA3R outputs a set of 3D planar primitives and 6-DoF relative camera pose in metric scale.

b3do ScaleLSD: Scalable Deep Line Segment Detection Streamlined
Zeran Ke, Bin Tan, Xianwei Zheng, Yujun Shen, Tianfu Wu, Nan Xue
CVPR, 2025
arXiv / Project / Code

This paper studies the problem of Line Segment Detection (LSD) in the manner of self-supervised learning for the characterization of line geometry in images, with the aim of learning a domain-agnostic robust LSD model that works well for any natural images.


This website template was borrower from Jonathon Barron.