2 papers
cs.CV2026
Medial Axis Aware Learning of Signed Distance Functions
Samuel Weidemaier, Christoph Norden-Smoch, Martin Rumpf
We propose a novel variational method to compute a highly accurate global signed distance function (SDF) to a given point cloud. To this end, the jump set of the gradient of the SD…
math.NA2025
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
Samuel Weidemaier, Florine Hartwig, Josua Sassen +3
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. To this end, we replace the commonly used eikonal equation w…