Alternating attention in continuous stereoscopic depth. - Steven Poulakos; Gerhard Roethlin; Adrian Schwaninger; Aljoscha Smolic; Markus H. Gross (SAP, 2014)

Live Texturing of Augmented Reality Characters from Colored Drawings. - Stéphane Magnenat; Dat Tien Ngo; Fabio Zünd; Mattia Ryffel; Gioacchino Noris; Gerhard Roethlin; Alessia Marra; Maurizio Nitti; Pascal Fua; Markus H. Gross; Robert W. Sumner (IEEE Trans. Vis. Comput. Graph., 2015)

A LED-Based IR/RGB End-to-End Latency Measurement Device. - Markus Billeter; Gerhard Röthlin; Jan Wezel; Daisuke Iwai; Anselm Grundhöfer (ISMAR Adjunct, 2016)

Camera-specific image quality enhancement using a convolutional neural network. - Anselm Grundhöfer; Gerhard Röthlin (ICIP, 2017)

Denoising with kernel prediction and asymmetric loss functions. - Thijs Vogels; Fabrice Rousselle; Brian McWilliams; Gerhard Röthlin; Alex Harvill; David Adler; Mark Meyer; Jan Novák (ACM Trans. Graph., 2018)

Deep Adaptive Sampling and Reconstruction Using Analytic Distributions. - Farnood Salehi; Marco Manzi; Gerhard Roethlin; Romann M. Weber; Christopher Schroers; Marios Papas (ACM Trans. Graph., 2022)

Deep Compositional Denoising on Frame Sequences. - Xianyao Zhang; Gerhard Röthlin; Marco Manzi; Markus Gross 001; Marios Papas (EGSR (ST), 2023)

Denoising Production Volumetric Rendering. - Shilin Zhu; Xianyao Zhang; Gerhard Röthlin; Marios Papas; Mark Meyer (SIGGRAPH Talks, 2023)

Neural Denoising for Deep-Z Monte Carlo Renderings. - Xianyao Zhang; Gerhard Röthlin; Shilin Zhu; Tunç Ozan Aydin; Farnood Salehi; Markus Gross 001; Marios Papas (Comput. Graph. Forum, 2024)