| Full name | Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation |
| Description | A novel 3D deep architecture operating on the voxel and mesh representations leveraging both the euclidean and geodesic information. |
| Publication title | VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation |
| Publication authors | Zeyu HU, Xuyang Bai, Jiaxiang Shang, Runze Zhang, Jiayu Dong, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai |
| Publication venue | ICCV 2021 (Oral) |
| Publication URL | https://arxiv.org/abs/2107.13824 |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | Python with Pytorch |
| Hardware | Tesla V100 |
| Website | https://github.com/hzykent/VMNet |
| Source code or download URL | https://github.com/hzykent/VMNet |
| Submission creation date | 18 Jan, 2021 |
| Last edited | 30 Jul, 2021 |
