AdaPoinTr : Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers
In this paper, we propose a Transformer encoder-decoder architecture, called PoinTr, which reformulates point cloud completion as a set-to-set translation problem and employs a geometry-aware block to model local geometric relationships explicitly. The migration of Transformers enables our model to...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 01. Dez., Seite 14114-14130
|
|---|
| 1. Verfasser: |
Yu, Xumin
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Rao, Yongming,
Wang, Ziyi,
Lu, Jiwen,
Zhou, Jie |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2023
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|