36 citations · 54 across the 5 of their papers we have counts for
8 papers
3D Shape Generation with Grid-based Implicit Functions
Moritz Ibing, Isaak Lim, Leif Kobbelt
Previous approaches to generate shapes in a 3D setting train a GAN on the latent space of an autoencoder (AE). Even though this produces convincing results, it has two major shortc…
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess
Laurent Kloeker, Fabian Thomsen, Lutz Eckstein +6
The research project HDV-Mess aims at a currently missing, but very crucial component for addressing important challenges in the field of connected and automated driving on public…
Fast Exact Booleans for Iterated CSG using Octree-Embedded BSPs
Julius Nehring-Wirxel, Philip Trettner, Leif Kobbelt
We present octree-embedded BSPs, a volumetric mesh data structure suited for performing a sequence of Boolean operations (iterated CSG) efficiently. At its core, our data structure…
SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
Cheng Lin, Lingjie Liu, Changjian Li +4
Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications. Exis…
Structured Discrete Shape Approximation: Theoretical Complexity and Practical Algorithm
Andreas M. Tillmann, Leif Kobbelt
We consider the problem of approximating a two-dimensional shape contour (or curve segment) using discrete assembly systems, which allow to build geometric structures based on limi…
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
Isaak Lim, Moritz Ibing, Leif Kobbelt
Automatic synthesis of high quality 3D shapes is an ongoing and challenging area of research. While several data-driven methods have been proposed that make use of neural networks…