2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.GR2026
Beyond Positional Encoding: A 5D Spatio-Directional Hash Encoding
Philippe Weier, Lukas Bode, Philipp Slusallek +2
In this work, we propose a new spatio-directional neural encoding that is compact and efficient, and supports all-frequency signals in both space and direction. Current learnable e…
cs.CV2023
Neural inverse procedural modeling of knitting yarns from images
Elena Trunz, Jonathan Klein, Jan Müller +4
We investigate the capabilities of neural inverse procedural modeling to infer high-quality procedural yarn models with fiber-level details from single images of depicted yarn samp…
cs.CV2022★ 2 cited
BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics
Lukas Bode, Michael Weinmann, Reinhard Klein
Extracting high-level structural information from 3D point clouds is challenging but essential for tasks like urban planning or autonomous driving requiring an advanced understandi…