Correspondence Learning via Linearly-invariant Embedding Riccardo Marin
–Neural Information Processing Systems
In this paper, we propose a fully differentiable pipeline for estimating accurate dense correspondences between 3D point clouds.
Neural Information Processing Systems
Oct-2-2025, 02:52:34 GMT
- Country:
- North America > United States (0.14)
- Technology:
- Information Technology > Artificial Intelligence
- Representation & Reasoning (0.94)
- Vision (0.70)
- Machine Learning > Neural Networks (0.46)
- Information Technology > Artificial Intelligence