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  4. Cited By
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting
  Neural Networks

Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks

15 September 2017
Simon Kallweit
Thomas Müller
Brian McWilliams
Markus Gross
Jan Novák
ArXiv (abs)PDFHTML

Papers citing "Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks"

12 / 12 papers shown
Title
The Shattered Gradients Problem: If resnets are the answer, then what is
  the question?
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
David Balduzzi
Marcus Frean
Lennox Leary
J. P. Lewis
Kurt Wan-Duo Ma
Brian McWilliams
ODL
73
403
0
28 Feb 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
903
6,796
0
26 Sep 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,405
0
12 Sep 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
77
2,463
0
15 Jun 2016
Deep Shading: Convolutional Neural Networks for Screen-Space Shading
Deep Shading: Convolutional Neural Networks for Screen-Space Shading
Oliver Nalbach
Elena Arabadzhiyska
Dushyant Mehta
Hans-Peter Seidel
Tobias Ritschel
FAtt3DV
56
153
0
19 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
276
11,151
0
14 Mar 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
479
2,573
0
25 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
Flux-Limited Diffusion for Multiple Scattering in Participating Media
Flux-Limited Diffusion for Multiple Scattering in Participating Media
David Koerner
J. Portsmouth
F. Sadlo
T. Ertl
B. Eberhardt
54
18
0
31 Mar 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
269
12,456
0
24 Jun 2012
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