Abstract: This paper proposes a novel neural network architecture RBF-KAN, integrating the theoretical robustness of Kolmogorov-Arnold Networks (KANs) with the localized features of Radial Basis ...

This is a utility for generating signed distance fields from vector shapes and font glyphs, which serve as a texture representation that can be used in real-time graphics to efficiently reproduce said ...

Localization of a robotic system within a previously mapped environment is important for reducing estimation drift and for reusing previously built maps. Existing techniques for geometry-based ...

Hundreds of industry leaders have signed a letter to FDA Director Marty Makary, M.D., about the importance of having a predictable regulatory agency, citing a survey in which 82% of biopharma ...

Abstract: In this letter, we propose ContactSDF, a method that uses signed distance functions (SDFs) to approximate multi-contact models, including both collision detection and time-stepping routines.

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This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...

This repository contains the Python code to reproduce some of the experiments of the Siggraph 2022 paper "Differentiable Signed Distance Function Rendering". Please see the project page for the paper ...