MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh

ICCV (Highlight)

Shuangkang Fang1, I-Chao Shen2, Yufeng Wang1, Yi-Hsuan Tsai3, Yi Yang4, Shuchang Zhou4, Wenrui Ding1, Takeo Igarashi2, Ming-Hsuan Yang5,
1Beihang University; 2The University of Tokyo; 3Atmanity Inc.; 4StepFun; 5University of California, Merced
Paper Code

BibTeX

 @inproceedings{fang2025meshllm,
  title={MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh},
  author={Fang, Shuangkang and Shen, I and Wang, Yufeng and Tsai, Yi-Hsuan and Yang, Yi and Zhou, Shuchang and Ding, Wenrui and Igarashi, Takeo and Yang, Ming-Hsuan and others},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={14061--14072},
  year={2025}
}
}