Jingzhi Bao
B.Eng., The Chinese University of Hong Kong, Shenzhen (2025)My research focuses on multi-modal understanding and 3D foundation models. I am currently working on technical scaling of foundation models to production-ready standards.
Education
University of Illinois Urbana-Champaign (UIUC)
Master in Computer ScienceSep. 2025 - Present
The Chinese University of Hong Kong, Shenzhen
B.Eng. in Computer Science and EngineeringSep. 2021 - July 2025
Nanyang Technological University (NTU)
Exchange StudentAug. 2023 - Dec. 2023
Experience
ByteDance
Research InternPresent
Lightspeed Studios, Tencent Games
Research InternFeb. 2025 - Aug. 2025
MeshyAI
Collaboration2025
University of California, Merced
Visiting StudentJune 2024 - Dec. 2024
Publications
Toward Next-Generation 3D Texture Generation
Meshy Texture Team
Technical Report
The best texture generation model that delivers exceptionally accurate, photorealistic results, achiving professional level PBR textures. Extensive evaluation by technical artists demonstrates strong robustness across diverse asset styles (e.g., realistic, stylized, and abstract).
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, TripoAI v2.5).
Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
Jingzhi Bao, Xueting Li, Ming-Hsuan Yang
arXiv preprint, 2024
We present Tex4D, a zero-shot framework that fuses 3D geometric priors from mesh sequences with the generative power of video diffusion models to produce multi-view, temporally consistent 4D textures.
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.