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Gerhard Röthlin
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2020 – today
- 2024
- [j4]Xianyao Zhang, Gerhard Röthlin, Shilin Zhu, Tunç Ozan Aydin, Farnood Salehi, Markus Gross, Marios Papas:
Neural Denoising for Deep-Z Monte Carlo Renderings. Comput. Graph. Forum 43(2): i-iii (2024) - 2023
- [c4]Shilin Zhu, Xianyao Zhang, Gerhard Röthlin, Marios Papas, Mark Meyer:
Denoising Production Volumetric Rendering. SIGGRAPH Talks 2023: 42:1-42:2 - 2022
- [j3]Farnood Salehi, Marco Manzi, Gerhard Roethlin, Romann M. Weber, Christopher Schroers, Marios Papas:
Deep Adaptive Sampling and Reconstruction Using Analytic Distributions. ACM Trans. Graph. 41(6): 259:1-259:16 (2022)
2010 – 2019
- 2018
- [j2]Thijs Vogels, Fabrice Rousselle, Brian McWilliams, Gerhard Röthlin, Alex Harvill, David Adler, Mark Meyer, Jan Novák:
Denoising with kernel prediction and asymmetric loss functions. ACM Trans. Graph. 37(4): 124 (2018) - 2017
- [c3]Anselm Grundhöfer, Gerhard Röthlin:
Camera-specific image quality enhancement using a convolutional neural network. ICIP 2017: 1392-1396 - 2016
- [c2]Markus Billeter, Gerhard Röthlin, Jan Wezel, Daisuke Iwai, Anselm Grundhöfer:
A LED-Based IR/RGB End-to-End Latency Measurement Device. ISMAR Adjunct 2016: 184-188 - 2015
- [j1]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:
Live Texturing of Augmented Reality Characters from Colored Drawings. IEEE Trans. Vis. Comput. Graph. 21(11): 1201-1210 (2015) - 2014
- [c1]Steven Poulakos, Gerhard Roethlin, Adrian Schwaninger, Aljoscha Smolic, Markus H. Gross:
Alternating attention in continuous stereoscopic depth. SAP 2014: 59-66
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last updated on 2024-08-08 19:16 CEST by the dblp team
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