Publications (6)
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…
Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models
Joy Xiaoji Zhang, Gene Wei-Chin Lin, Lukas Bode +3
Virtual garment simulation has become increasingly important with applications in garment design and virtual try-on. However, reproducing garments faithfully remains a cumbersome p…
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…
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…
Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media
Jorge Condor, Sebastien Speierer, Lukas Bode +4
Efficient scene representations are essential for many computer graphics applications. A general unified representation that can handle both surfaces and volumes simultaneously, re…
High-Performance Real-Time Implicit Strand-Based Hair Rendering via Software Rasterization
Lukas Lipp, Adrian Jarabo, Michael Wimmer +1
In this work we propose an efficient deferred software rasterization pipeline for real-time rendering of strand-based hair using hair meshes. Hair plays a crucial role in creating…