1.2k citations · 2.2k across the 48 of their papers we have counts for
18 papers · 1 filter
Patternshop: Editing Point Patterns by Image Manipulation
Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel +2
Point patterns are characterized by their density and correlation. While spatial variation of density is well-understood, analysis and synthesis of spatially-varying correlation is…
Scalable multi-class sampling via filtered sliced optimal transport
Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel +1
We propose a multi-class point optimization formulation based on continuous Wasserstein barycenters. Our formulation is designed to handle hundreds to thousands of optimization obj…
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
Mengyu Chu, Lingjie Liu, Quan Zheng +4
High-fidelity reconstruction of fluids from sparse multiview RGB videos remains a formidable challenge due to the complexity of the underlying physics as well as complex occlusion…
Eikonal Fields for Refractive Novel-View Synthesis
Mojtaba Bemana, Karol Myszkowski, Jeppe Revall Frisvad +2
We tackle the problem of generating novel-view images from collections of 2D images showing refractive and reflective objects. Current solutions assume opaque or transparent light…
Mixed Integer Neural Inverse Design
Navid Ansari, Hans-Peter Seidel, Vahid Babaei
In computational design and fabrication, neural networks are becoming important surrogates for bulky forward simulations. A long-standing, intertwined question is that of inverse d…
Egocentric Videoconferencing
Mohamed Elgharib, Mohit Mendiratta, Justus Thies +5
We introduce a method for egocentric videoconferencing that enables hands-free video calls, for instance by people wearing smart glasses or other mixed-reality devices. Videoconfer…
A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces
Alexander Weinrauch, Hans-Peter Seidel, Daniel Mlakar +2
The humble loop shrinking property played a central role in the inception of modern topology but it has been eclipsed by more abstract algebraic formalism. This is particularly tru…
Neural View-Interpolation for Sparse Light Field Video
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel +1
We suggest representing light field (LF) videos as "one-off" neural networks (NN), i.e., a learned mapping from view-plus-time coordinates to high-resolution color values, trained…
Computational Design of Lightweight Trusses
Caigui Jiang, Chengcheng Tang, Hans-Peter Seidel +2
Trusses are load-carrying light-weight structures consisting of bars connected at joints ubiquitously applied in a variety of engineering scenarios. Designing optimal trusses that…
Learning to Predict Image-based Rendering Artifacts with Respect to a Hidden Reference Image
Mojtaba Bemana, Joachim Keinert, Karol Myszkowski +4
Image metrics predict the perceived per-pixel difference between a reference image and its degraded (e. g., re-rendered) version. In several important applications, the reference i…
AlSub: Fully Parallel and Modular Subdivision
Daniel Mlakar, Martin Winter, Hans-Peter Seidel +2
In recent years, mesh subdivision---the process of forging smooth free-form surfaces from coarse polygonal meshes---has become an indispensable production instrument. Although subd…
End-to-end Sampling Patterns
Thomas Leimkühler, Gurprit Singh, Karol Myszkowski +2
Sample patterns have many uses in Computer Graphics, ranging from procedural object placement over Monte Carlo image synthesis to non-photorealistic depiction. Their properties suc…
An intuitive control space for material appearance
Ana Serrano, Diego Gutierrez, Karol Myszkowski +2
Many different techniques for measuring material appearance have been proposed in the last few years. These have produced large public datasets, which have been used for accurate,…
Layered Fields for Natural Tessellations on Surfaces
Rhaleb Zayer, Daniel Mlakar, Markus Steinberger +1
Mimicking natural tessellation patterns is a fascinating multi-disciplinary problem. Geometric methods aiming at reproducing such partitions on surface meshes are commonly based on…
Deep Shading: Convolutional Neural Networks for Screen-Space Shading
Oliver Nalbach, Elena Arabadzhiyska, Dushyant Mehta +2
In computer vision, convolutional neural networks (CNNs) have recently achieved new levels of performance for several inverse problems where RGB pixel appearance is mapped to attri…
Regularized Harmonic Surface Deformation
Yeara Kozlov, Janick Martinez Esturo, Hans-Peter Seidel +1
Harmonic surface deformation is a well-known geometric modeling method that creates plausible deformations in an interactive manner. However, this method is susceptible to artifact…
Proofs of two Theorems concerning Sparse Spacetime Constraints
Christian Schulz, Christoph von Tycowicz, Hans-Peter Seidel +1
In the SIGGRAPH 2014 paper [SvTSH14] an approach for animating deformable objects using sparse spacetime constraints is introduced. This report contains the proofs of two theorems…
Compact Part-Based Shape Spaces for Dense Correspondences
Oliver Burghard, Alexander Berner, Michael Wand +3
We consider the problem of establishing dense correspondences within a set of related shapes of strongly varying geometry. For such input, traditional shape matching approaches oft…