147 citations · 163 across the 5 of their papers we have counts for
6 papers
GSComplete: Gaussian Splat Completion with 2D Diffusion Priors
Elias Brugger, Philipp Erler, Stefan Ohrhallinger +1
Gaussian splats provide a fast, high-fidelity representation for 3D objects but are often constructed from incomplete input data in practice, leaving missing regions. Existing comp…
Reconstructing Curves from Sparse Samples on Riemannian Manifolds
Diana Marin, Filippo Maggioli, Simone Melzi +2
Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of cu…
2D Points Curve Reconstruction Survey and Benchmark
Stefan Ohrhallinger, Jiju Peethambaran, Amal D. Parakkat +2
Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like han…
Points2Surf: Learning Implicit Surfaces from Point Cloud Patches
Philipp Erler, Paul Guerrero, Stefan Ohrhallinger +2
A key step in any scanning-based asset creation workflow is to convert unordered point clouds to a surface. Classical methods (e.g., Poisson reconstruction) start to degrade in the…
Pose to Seat: Automated Design of Body-Supporting Surfaces
Kurt Leimer, Andreas Winkler, Stefan Ohrhallinger +1
The design of functional seating furniture is a complicated process which often requires extensive manual design effort and empirical evaluation. We propose a computational design…
StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples
Stefan Ohrhallinger, Michael Wimmer
We reconstruct a closed denoised curve from an unstructured and highly noisy 2D point cloud. Our proposed method uses a two- pass approach: Previously recovered manifold connectivi…