3 citations · 3 across the 1 of their papers we have counts for
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★ 3 cited
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…