CVPR2025
Scaling Mesh Generation via Compressive Tokenization
Haohan Weng, Zibo Zhao, Biwen Lei, Xianghui Yang, Jian Liu, Zeqiang Lai, Zhuo Chen, Yuhong Liu, Jie Jiang, Chunchao Guo, Tong Zhang, Shenghua Gao, C. L. Philip Chen
Abstract
Figure 1. Generated meshes conditioned on images or point cloud sampled from dense meshes. Our model can generate meshes up to 8k faces based on the proposed compressive tokenization. The lower right dense meshes or images represent the conditions.