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An Adversarial Neuro-Tensorial Approach For Learning Disentangled
  Representations

An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations

28 November 2017
Mengjiao MJ Wang
Zhixin Shu
Shiyang Cheng
Yannis Panagakis
Dimitris Samaras
S. Zafeiriou
    CoGe
    DRL
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Papers citing "An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations"

4 / 4 papers shown
Title
Structural Causal 3D Reconstruction
Structural Causal 3D Reconstruction
Weiyang Liu
Zhen Liu
Liam Paull
Adrian Weller
Bernhard Schölkopf
3DV
CML
38
13
0
20 Jul 2022
AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural
  Images with Aperture Rendering Neural Radiance Fields
AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields
Takuhiro Kaneko
28
14
0
13 Jun 2022
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
27
119
0
07 Jul 2021
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural
  Images with Aperture Rendering Generative Adversarial Networks
Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks
Takuhiro Kaneko
GAN
36
5
0
24 Jun 2021
1