199 citations · 376 across the 14 of their papers we have counts for
15 papers
Point-Based 3D Reconstruction from Sparse Views under Known Illumination
Magnus Kaufmann Gjerde, Joakim Bruslund Haurum, Jeppe Revall Frisvad +3
Sparse view 3D reconstruction is commonly addressed with neural implicit surfaces or dense point-based representations such as Gaussian splatting. Surface-aware splatting methods i…
HRsR: Hierarchical Rotation System Reconstruction
Ruiqi Cui, Cem Akarsubaşı, Emil Toftegaard Gæde +3
Surface reconstruction from point clouds remains challenging when both geometric fidelity and topology control are required. Rotation System Reconstruction (RsR) reconstructs trian…
Learning to Build Shapes by Extrusion
Thor Vestergaard Christiansen, Karran Pandey, Alba Reinders +3
We introduce Text Encoded Extrusions (TEE), a text-based representation that expresses mesh construction as sequences of face extrusions rather than polygon lists, and a method for…
Surface Reconstruction Using Rotation Systems
Ruiqi Cui, Emil Toftegaard Gæde, Eva Rotenberg +2
Inspired by the seminal result that a graph and an associated rotation system uniquely determine the topology of a closed manifold, we propose a combinatorial method for reconstruc…
Phasor Noise for Dehomogenisation in 2D Multiscale Topology Optimisation
Rebekka V. Woldseth, J. Andreas Bærentzen, Ole Sigmund
This paper presents an alternative approach to dehomogenisation of elastic Rank-N laminate structures based on the computer graphics discipline of phasor noise. The proposed method…
Efficient Inverse-designed Structural Infill for Complex Engineering Structures
Peter Dørffler Ladegaard Jensen, Tim Felle Olsen, J. Andreas Bærentzen +2
Inverse design of high-resolution and fine-detailed 3D lightweight mechanical structures is notoriously expensive due to the need for vast computational resources and the use of ve…
Multilevel Skeletonization Using Local Separators
J. Andreas Bærentzen, Rasmus Emil Christensen, Emil Toftegaard Gæde +1
In this paper we give a new, efficient algorithm for computing curve skeletons, based on local separators. Our efficiency stems from a multilevel approach, where we solve small pro…
On the use of Artificial Neural Networks in Topology Optimisation
Rebekka V. Woldseth, Niels Aage, J. Andreas Bærentzen +1
The question of how methods from the field of artificial intelligence can help improve the conventional frameworks for topology optimisation has received increasing attention over…
De-homogenization using Convolutional Neural Networks
Martin O. Elingaard, Niels Aage, J. Andreas Bærentzen +1
This paper presents a deep learning-based de-homogenization method for structural compliance minimization. By using a convolutional neural network to parameterize the mapping from…
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy
Kasra Arnavaz, Oswin Krause, Kilian Zepf +5
Motivated by the challenging segmentation task of pancreatic tubular networks, this paper tackles two commonly encountered problems in biomedical imaging: Topological consistency o…
Synthesis of Frame Field-Aligned Multi-Laminar Structures
Florian Cyril Stutz, Tim Felle Olsen, Jeroen Peter Groen +4
In the field of topology optimization, the homogenization approach has been revived as an important alternative to the established, density-based methods because it can represent t…
Shape from Projections via Differentiable Forward Projector for Computed Tomography
Jakeoung Koo, Anders B. Dahl, J. Andreas Bærentzen +3
In computed tomography, the reconstruction is typically obtained on a voxel grid. In this work, however, we propose a mesh-based reconstruction method. For tomographic problems, 3D…
De-homogenization of optimal multi-scale 3D topologies
Jeroen Groen, Florian Stutz, Niels Aage +2
This paper presents a highly efficient method to obtain high-resolution, near-optimal 3D topologies optimized for minimum compliance on a standard PC. Using an implicit geometry de…
Geometry of turbulent dissipation and the Navier-Stokes regularity problem
Janet Rafner, Zoran Grujić, Christian Bach +6
The question of whether a singularity can form in an initially regular flow, described by the 3D incompressible Navier-Stokes (NS) equations, is a fundamental problem in mathematic…
Bézier curves that are close to elastica
David Brander, J. Andreas Bærentzen, Ann-Sofie Fisker +1
We study the problem of identifying those cubic Bézier curves that are close in the L2 norm to planar elastic curves. The problem arises in design situations where the manufacturin…