2026
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, supporting multi-view input variants. Lead the project across data filtering, pipeline infra optim., and model training/quantization/distillation.
MeshyAIAll model weights and inference/training code will be released after the paper/patent review.2025
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).
2024
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.