Jingzhi Bao
B.Eng., The Chinese University of Hong Kong, Shenzhen (2025)My research focuses on post-training (RL) for image/multimodal generation, and pre-training, post-training, and data pipeline construction for 3D foundation models.
I am expected to graduate in January 2027 and actively seeking full-time opportunities!
Education
University of Illinois Urbana-Champaign (UIUC)
Sep. 2025 - Present
Master in Computer Science
Champaign, IL, USA
The Chinese University of Hong Kong, Shenzhen
Sep. 2021 - July 2025
B.Eng. in Computer Science and Engineering
Shenzhen, China
Nanyang Technological University (NTU)
Aug. 2023 - Dec. 2023
Exchange Student
Singapore
Experience
ByteDance
May 2026 - Aug. 2026
Research Intern (VLM/UMM Post-Train)
San Jose, CA, USA
Lightspeed Studios, Tencent IEG
Feb. 2025 - Aug. 2025
Research Intern (3D Generation)
Shenzhen, China
MeshyAI
2025
Research Intern (3D Generation)
Shanghai, China
University of California, Merced
June 2024 - Dec. 2024
Visiting Student
Merced, CA, USA
Publications
Toward Next-Generation 3D Asset Generation
Jingzhi Bao, Xiaohe Ma, Hong Li, Yuanming Hu, Xiaoguang Han
Conditionally accept to ACM Transactions on Graphics (Proc. SIGGRAPH Asia).SIGGRAPH Asia 2026
Meshy 6,7 texture model (8K). Lead the project across data filtering, pipeline design, model training/quantization/distillation, and arena evaluation.
MeshyAI
CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generation
Chenyu Liu, Hongze Chen, Jingzhi Bao, Lingting Zhu, Runze Zhang, Weikai Chen, Zeyu Hu, Yingda Yin, Keyang Luo, Xin Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition.CVPR 2026
A framework of geometry-calibrated attention (geo-aligned attention + condition-routed attention) achieves strong texture alignment with 3D structure. CaliTex produces cross-view consistent textures outperforming both open-source and commercial methods (Hunyuan3D 2.1/3.0).
arXiv
LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context
Jingzhi Bao*, Hongze Chen*, Lingting Zhu, Chenyu Liu, Runze Zhang, Keyang Luo, Zeyu Hu, Weikai Chen, Yingda Yin, Xin Wang, Zehong Lin, Jun Zhang, Xiaoguang Han
International Conference on Learning Representations.ICLR 2026
A product-ready level PBR generation method that surpasses SoTA open-source and commercial methods (Hunyuan3D 2.1, Meshy-5, Tripo v2.5).
Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
Jingzhi Bao, Xueting Li, Ming-Hsuan Yang
arXiv preprint, 2024.
A zero-shot method that proposes to guide video model generation with 3D geometry priors from mesh animations for control.
Photometric Inverse Rendering: Shading Cues Modeling and Reflectance Regularization
Jingzhi Bao, Guanying Chen, Shuguang Cui
International Conference on 3D Vision.3DV 2025
A differentiable inverse rendering framework that jointly optimizes lighting and materials for photometric images, achieving accurate self-shadow handling and inter-reflection estimation. DINO-based feature distillation delivers more consistent surface reflectance decomposition.