Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...
The FireANTs library is a lightweight, general-purpose registration package for Riemannian diffeomorphic registration on GPUs. It is designed to be easy to use, fast, accurate, and extensible. The ...
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