Bojian Wu

Bojian Wu · 吴博剑

I am a researcher at Tencent. Priorly, I had working experience in Zhejiang University and Alibaba DAMO Academy.

I received my Ph.D. degree in Computer Graphics from University of Chinese Academy of Sciences in 2019, advised by Prof. Hui Huang. From July 2018, I spent half a year in The University of Tokyo, working with Prof. Yonghao Yue and Prof. Takeo Igarashi. I obtained the master's degree from University of Science and Technology of China under the supervision of Prof. Xuejin Chen in 2015. Before that, I got my bachelor's degree from Sichuan University in 2012 (early graduation).

Email / Google Scholar / LinkedIn / Github

Research

I'm interested in computer graphics and computer vision, especially focusing on 3D generation, modeling and reconstruction. (co-first author^*, corresponding author^†)

A Survey on Pose-Free Neural Radiance Fields and 3D Gaussian Splatting
Dongbo Shi, Lubin Fan, Bojian Wu, Shen Cao, Jinhui Guo, Ligang Liu, Renjie Chen
TechRxiv Preprint 2026
paper / project / github

Capacity-Controlled Multi-View Stylization of 3D Gaussian Splatting
Zhihao Wen, Yixin Yang, Bojian Wu, Yang Zhou, Dani Lischinski, Daniel Cohen-Or, Hui Huang
ECCV 2026
paper / project

Augmented Radiance Field: A General Framework for Enhanced Gaussian Splatting
Yixin Yang, Bojian Wu, Yang Zhou, Hui Huang
ICLR 2026
paper / project / code

Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details
Qiang Bai, Bojian Wu, Xi Yang, Zhizhong Han
AAAI 2026
paper / code

TrackGS: Optimizing COLMAP-Free 3D Gaussian Splatting with Global Track Constraints
Dongbo Shi, Shen Cao, Lubin Fan, Bojian Wu, Jinhui Guo, Renjie Chen, Ligang Liu, Jieping Ye
AAAI 2026
paper / project

CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
Yiyi Liu, Chunyang Liu, Bohan Wang, Weiqin Jiao, Bojian Wu, Lubin Fan, Yuwei Chen, Fashuai Li, Biao Xiong
NeurIPS 2025
paper / project / code

Glossy Object Reconstruction with Cost-effective Polarized Acquisition
Bojian Wu, Yifan Peng, Ruizhen Hu, Xiaowei Zhou
CVPR 2025 (★Highlight)
paper / project / poster

HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting
Jingyu Lin, Jiaqi Gu, Lubin Fan, Bojian Wu, Yujing Lou, Renjie Chen, Ligang Liu, Jieping Ye
CVPR 2025
paper / project / code

CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery
Chenghao Zhang, Lubin Fan, Shen Cao, Bojian Wu, Jieping Ye
ICRA 2025
paper

PTZ-Calib: Robust Pan-Tilt-Zoom Camera Calibration
Jinhui Guo, Lubin Fan, Bojian Wu, Jiaqi Gu, Shen Cao, Jieping Ye
ICRA 2025
paper / code

NoPe-NeRF++: Local-to-Global Optimization of NeRF with No Pose Prior
Dongbo Shi, Shen Cao, Bojian Wu, Jinhui Guo, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye
Computer Graphics Forum (Proc. of Eurographics 2025)
paper

Learning Neural Volumetric Pose Features for Camera Localization
Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye
ECCV 2024
paper / project

Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching between Parts and Words
Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang
CVPR 2023
paper / code

Homography Loss for Monocular 3D Object Detection
Jiaqi Gu, Bojian Wu^†, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua
CVPR 2022
paper / code

Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis
Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan, Maks Ovsjanikov, Peter Wonka
ACM Trans. on Graphics (Proc. of SIGGRAPH Asia 2021)
paper / video / code

Differentiable Refraction-Tracing for Mesh Reconstruction of Transparent Objects
Jiahui Lyu^*, Bojian Wu^*, Dani Lischinski, Daniel Cohen-Or, Hui Huang
ACM Trans. on Graphics (Proc. of SIGGRAPH Asia 2020)
paper / video / code

Full 3D Reconstruction of Transparent Objects
Bojian Wu, Yang Zhou, Yiming Qian, Minglun Gong, Hui Huang
ACM Trans. on Graphics (Proc. of SIGGRAPH 2018)
paper / video / code

Learning How Objects Function via Co-Analysis of Interactions
Ruizhen Hu, Oliver van Kaick, Bojian Wu, Hui Huang, Ariel Shamir, Hao Zhang
ACM Trans. on Graphics (Proc. of SIGGRAPH 2016)
paper / video / supp

Last Updated: 2026.06.30 (Template From Here)