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Generative Hierarchical Models for Parts, Objects, and Scenes

Generative Hierarchical Models for Parts, Objects, and Scenes

21 October 2019
Fei Deng
Zhuo Zhi
Sungjin Ahn
    OCL
ArXivPDFHTML

Papers citing "Generative Hierarchical Models for Parts, Objects, and Scenes"

7 / 7 papers shown
Title
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe
Marco Fraccaro
Valentin Liévin
Ole Winther
BDL
DRL
53
214
0
06 Feb 2019
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
174
4,595
0
26 Oct 2017
An Architecture for Deep, Hierarchical Generative Models
An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
AI4CE
BDL
70
53
0
08 Dec 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
312
5,364
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
186
2,531
0
02 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
319
5,229
0
16 Sep 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
297
7,384
0
05 Jun 2015
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