Abstract: We focus on learning descriptive geometry and motion features from 4D point cloud sequences in this work. Existing works usually develop generic 4D learning tools without leveraging the ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

This is the official repo of our paper Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction in IEEE TMI 2024. In this work, we describe a novel encoder-decoder framework for ...