2022

Scenes used for our tests
Leonardo Scandolo and Elmar Eisemann
In Proceedings of Conference on High-Performance Graphics, 2022
Teaser
Nejc Macek, Baran Usta, Elmar Eisemann, and Ricardo Marroquim
ACM Comput Graph Interact Tech, 2022
Incorporating image texture information into dimensionality reduction
Alexander Vieth, Anna Vilanova, Boudewijn P. F. Lelieveldt, Elmar Eisemann, and Thomas Höllt
In Proceedings of PacificVis, 2022
Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann, and Klaus Hildebrandt
ACM Transactions on Graphics, 2022
Cehao Yu, Maarten Wijntjes, Elmar Eisemann, and Sylvia Pont
Journal of Vision, 2022

2021

Wineglass with dispersive dielectric materials with 32 samples per pixel. As can be seen, our reweighted schemes improve upon uniform and stratified samples and produces much smoother result in terms of color noise. Significant improvements can be observed in low discrepency sequences. All results are plotted in log-log scale.
Jerry Guo and Elmar Eisemann
Computer Graphics Forum, 2021
Effects of inter-reflections in box spaces on perceived object color harmony and shape
Cehao Yu, Elmar Eisemann, Maarten Wijntjes, Jan Jaap R. van Assen, and Sylvia Pont
Journal of Vision, 2021
Individually unique and stable immune fingerprints revealed by mass cytometry
Sanne E. de Jong, Vincent van Unen, Mikhael D. Manurung , Koen Stam, Jelle J. Goeman, et al.
Nat Immunol, 2021
A proposed interactive workflow for our mixed-initiative approach. We arbitrarily chose the steps shown in this illustration.
Mijael Bueno, Elmar Eisemann, and Rafael Bidarra
In Proceedings of ICIDS, 2021
Annemieke Verbraeck and Elmar Eisemann
IEEE Transactions on Visualization and Computer Graphics, 2021
Our method decreases error for wavelength-dependent scattering in the presence of non-uniformly distributed emission, reflectance, and transmission throughout the scene
Mark van de Ruit and Elmar Eisemann
Computer Graphics Forum, 2021
Left: Visible layer transitions where bin boundaries cut through primitives. Right: Smooth layer transitions improve the results but artifacts are still visible.
Fabian Friederichs, Martin Eisemann, and Elmar Eisemann
In Proceedings of Graphics Interface, 2021
: Workflow of our manifold embedding: each image in a texture collection is run through the VGG16 network to obtain a feature vector extracted from the penultimate layer of the network. These features are then embedded in 2D space using the t-SNE algorithm.
Xuejiao Luo, Leonardo Scandolo, and Elmar Eisemann
Computer Graphics Forum, 2021
Left: Horizon-based ambient occlusion (HBAO) uses only a depth map and underestimates occlusion due to hidden geometry. Right: Our stochastic-depth HBAO captures occluded geometry stochastically (2ms in full HD).
Jop Vermeer, Leonardo Scandolo, and Elmar Eisemann
ACM Comput Graph Interact Tech, 2021

2020

Peiteng Shi, Markus Billeter, and Elmar Eisemann
Computers & Graphics, 2020
An example render
Mathijs Molenaar and Elmar Eisemann
In Proceedings of Eurographics (Short Papers), 2020
Jerry Guo, Martin Eisemann, and Elmar Eisemann
Computer Graphics Forum, 2020
Tom Callewaert, Jerry Guo, Guusje Harteveld, Abbie Vandivere, Elmar Eisemann, et al.
2020
Remi van der Laan, Leonardo Scandolo, and Elmar Eisemann
ACM Comput Graph Interact Tech, 2020
Victor Careil, Markus Billeter, and Elmar Eisemann
Computer Graphics Forum, 2020