Predict the SDF at the query points given the encoded point clouds. Each query point should be treated independently, only conditioning on the point clouds themselves.
(
self, x: torch.Tensor, encoded: Optional[Dict[str, torch.Tensor]]
)
| 59 | |
| 60 | @abstractmethod |
| 61 | def predict_sdf( |
| 62 | self, x: torch.Tensor, encoded: Optional[Dict[str, torch.Tensor]] |
| 63 | ) -> torch.Tensor: |
| 64 | """ |
| 65 | Predict the SDF at the query points given the encoded point clouds. |
| 66 | |
| 67 | Each query point should be treated independently, only conditioning on |
| 68 | the point clouds themselves. |
| 69 | """ |
| 70 | |
| 71 | |
| 72 | class CrossAttentionPointCloudSDFModel(PointCloudSDFModel): |