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DARN: a Deep Adversial Residual Network for Intrinsic Image Decomposition

DARN: a Deep Adversial Residual Network for Intrinsic Image Decomposition

Louis Lettry
K. Vanhoey
Luc Van Gool
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Papers citing "DARN: a Deep Adversial Residual Network for Intrinsic Image Decomposition"

7 / 7 papers shown
Title
Shape, Illumination, and Reflectance from Shading
Shape, Illumination, and Reflectance from Shading
Jonathan T. Barron
Jitendra Malik
3DV
40
727
0
07 Oct 2020
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
T. Narihira
Michael Maire
Stella X. Yu
73
185
0
08 Dec 2015
Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition
Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition
Tinghui Zhou
Philipp Krahenbuhl
Alexei A. Efros
116
163
0
08 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
432
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
206
4,052
0
09 Jun 2014