| Full name | Dynamic Graph CNN |
| Description | An implementation of DGCNN on the ScanNet dataset |
| Publication title | Dynamic Graph CNN for Learning on Point Clouds |
| Publication authors | Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon |
| Publication venue | TOG 2019 |
| Publication URL | https://arxiv.org/abs/1801.07829 |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | Python(PyTorch) with CUDA extensions |
| Hardware | Geforce RTX2080 |
| Source code or download URL | https://github.com/AnTao97/dgcnn.pytorch |
| Submission creation date | 14 Jul, 2022 |
| Last edited | 21 Jul, 2022 |
| Last uploaded | 14 Jul, 2022 |
