Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2106.13435
Cited By
v1
v2 (latest)
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation
25 June 2021
Xiaohui Zeng
R. Urtasun
R. Zemel
Sanja Fidler
Renjie Liao
DiffM
Re-assign community
ArXiv (abs)
PDF
HTML
Github (21★)
Papers citing
"NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation"
22 / 22 papers shown
Title
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang
Mengye Ren
R. Zemel
SSL
38
22
0
27 Aug 2020
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
83
915
0
08 Jul 2020
VQ-DRAW: A Sequential Discrete VAE
Alex Nichol
BDL
29
3
0
03 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
213
1,717
0
05 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
258
3,961
0
12 Jul 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRL
BDL
151
1,828
0
02 Jun 2019
Diagnosing and Enhancing VAE Models
Bin Dai
David Wipf
DRL
68
381
0
14 Mar 2019
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
303
3,144
0
09 Jul 2018
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
233
5,079
0
02 Nov 2017
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
227
9,564
0
31 Mar 2017
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
363
5,388
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
200
2,541
0
02 Nov 2016
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
217
2,519
0
16 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
277
3,722
0
26 May 2016
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
183
2,075
0
31 Dec 2015
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
280
1,246
0
01 Sep 2015
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
322
4,197
0
21 May 2015
Training generative neural networks via Maximum Mean Discrepancy optimization
Gintare Karolina Dziugaite
Daniel M. Roy
Zoubin Ghahramani
GAN
91
530
0
14 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
312
7,031
0
12 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
182
1,962
0
16 Feb 2015
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OOD
GAN
119
847
0
10 Feb 2015
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
253
8,429
0
28 Nov 2014
1