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...
| Main Authors: | , |
|---|---|
| 格式: | Conference item |
| 語言: | English |
| 出版: |
British Machine Vision Association
2020
|