Neighbourhood-insensitive point cloud normal estimation network
We introduce a novel self-attention-based normal estimation network that is able to focus softly on relevant points and adjust the softness by learning a temperature parameter, making it able to work naturally and effectively within a large neighbourhood range. As a result, our model outperforms all...
| Principais autores: | , |
|---|---|
| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
British Machine Vision Association
2020
|