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)
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 InternMay 2026 - Aug. 2026
Lightspeed Studios, Tencent IEG
Research InternFeb. 2025 - Aug. 2025
MeshyAI
Research Intern2025
University of California, Merced
Visiting StudentJune 2024 - Dec. 2024
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
The best texture generation model delivering exceptionally accurate, photorealistic, professional-level PBR textures + normal maps, with support for multi-view inputs. Lead the project across data filtering, pipeline infra optim., 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.