David Adler

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 6

Top Topics

Monte Carlo Methods

Kernel Classifiers

Conditional Density Estimation

Top Venues

Comput. Graph. Forum

ACM Trans. Graph.

Publications

Yining Karl Li, Charlotte Zhu, Gregory Nichols, Peter Kutz, Wei-Feng Wayne Huang, David Adler, Brent Burley, Daniel Teece
Cache Points for Production-Scale Occlusion-Aware Many-Lights Sampling and Volumetric Scattering. DigiPro (2024)
Henrik Dahlberg, David Adler, Jeremy Newlin
Machine-learning denoising in feature film production. SIGGRAPH Talks (2019)
Delio Vicini, David Adler, Jan Novák, Fabrice Rousselle, Brent Burley
Denoising Deep Monte Carlo Renderings. Comput. Graph. Forum 38 (1) (2019)
Brent Burley, David Adler, Matt Jen-Yuan Chiang, Hank Driskill, Ralf Habel, Patrick Kelly, Peter Kutz, Yining Karl Li, Daniel Teece
The Design and Evolution of Disney's Hyperion Renderer. ACM Trans. Graph. 37 (3) (2018)
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) (2018)
Benedikt Bitterli, Fabrice Rousselle, Bochang Moon, José Antonio Iglesias Guitián, David Adler, Kenny Mitchell, Wojciech Jarosz, Jan Novák
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Comput. Graph. Forum 35 (4) (2016)
Henning Zimmer, Fabrice Rousselle, Wenzel Jakob, Oliver Wang, David Adler, Wojciech Jarosz, Olga Sorkine-Hornung, Alexander Sorkine-Hornung
Path-space Motion Estimation and Decomposition for Robust Animation Filtering. Comput. Graph. Forum 34 (4) (2015)
Finley R. Shapiro, Stephen D. Senturia, David Adler
The analysis of non-oscillating transients using the covariance method with many different orders. ICASSP (1984)