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Spectral Normalization for Generative Adversarial Networks

Spectral Normalization for Generative Adversarial Networks

16 February 2018
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
    ODL
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Papers citing "Spectral Normalization for Generative Adversarial Networks"

50 / 1,336 papers shown
Title
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image
  Synthesis
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
Minfeng Zhu
Pingbo Pan
Wei Chen
Yi Yang
GAN
17
574
0
02 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
43
201
0
29 Mar 2019
From Variational to Deterministic Autoencoders
From Variational to Deterministic Autoencoders
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
DRL
37
269
0
29 Mar 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based
  Models
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp
Mitch Hill
Tian Han
Song-Chun Zhu
Ying Nian Wu
21
151
0
29 Mar 2019
Painting with baryons: augmenting N-body simulations with gas using deep
  generative models
Painting with baryons: augmenting N-body simulations with gas using deep generative models
T. Tröster
C. Ferguson
J. Harnois-Déraps
I. McCarthy
AI4CE
21
49
0
28 Mar 2019
High Fidelity Face Manipulation with Extreme Poses and Expressions
High Fidelity Face Manipulation with Extreme Poses and Expressions
Chaoyou Fu
Yibo Hu
Xiang Wu
Guoli Wang
Qian Zhang
Ran He
CVBM
32
25
0
28 Mar 2019
Wasserstein Dependency Measure for Representation Learning
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aaron van den Oord
Sergey Levine
P. Sermanet
SSL
DRL
30
116
0
28 Mar 2019
PI-REC: Progressive Image Reconstruction Network With Edge and Color
  Domain
PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain
Sheng You
Ning You
Minxue Pan
GAN
21
20
0
25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GAN
VLM
36
483
0
25 Mar 2019
Convolution with even-sized kernels and symmetric padding
Convolution with even-sized kernels and symmetric padding
Shuang Wu
Guanrui Wang
Pei Tang
F. Chen
Luping Shi
19
67
0
20 Mar 2019
Conditional GANs For Painting Generation
Conditional GANs For Painting Generation
A. Mufti
Biagio Antonelli
Julius Monello
GAN
14
8
0
06 Mar 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer Labels
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GAN
OOD
36
157
0
06 Mar 2019
Adversarial Generation of Handwritten Text Images Conditioned on
  Sequences
Adversarial Generation of Handwritten Text Images Conditioned on Sequences
Eloi Alonso
Bastien Moysset
Ronaldo O. Messina
GAN
25
82
0
01 Mar 2019
GANSynth: Adversarial Neural Audio Synthesis
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel
Kumar Krishna Agrawal
Shuo Chen
Ishaan Gulrajani
Chris Donahue
Adam Roberts
49
385
0
23 Feb 2019
Deep Learning for Image Super-resolution: A Survey
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang
Jian Chen
Guosheng Lin
SupR
24
1,416
0
16 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
Anton Mallasto
J. Frellsen
Wouter Boomsma
Aasa Feragen
19
15
0
10 Feb 2019
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
28
16
0
02 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers
TF-Replicator: Distributed Machine Learning for Researchers
P. Buchlovsky
David Budden
Dominik Grewe
Chris Jones
John Aslanides
...
Aidan Clark
Sergio Gomez Colmenarejo
Aedan Pope
Fabio Viola
Dan Belov
GNN
OffRL
AI4CE
37
20
0
01 Feb 2019
Diversity-Sensitive Conditional Generative Adversarial Networks
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang
Seunghoon Hong
Y. Jang
Tianchen Zhao
Honglak Lee
GAN
39
214
0
25 Jan 2019
Multi-objective training of Generative Adversarial Networks with
  multiple discriminators
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque
João Monteiro
T. Doan
Breandan Considine
T. Falk
Ioannis Mitliagkas
27
66
0
24 Jan 2019
Maximum Entropy Generators for Energy-Based Models
Maximum Entropy Generators for Energy-Based Models
Rithesh Kumar
Sherjil Ozair
Anirudh Goyal
Aaron Courville
Yoshua Bengio
19
112
0
24 Jan 2019
Deep Generative Learning via Variational Gradient Flow
Deep Generative Learning via Variational Gradient Flow
Yuan Gao
Yuling Jiao
Yang Wang
Yao Wang
Can Yang
Shunkang Zhang
27
36
0
24 Jan 2019
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and
  Image-to-Image Translation
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation
Wei Sun
Tianfu Wu
21
13
0
18 Jan 2019
Foreground-aware Image Inpainting
Foreground-aware Image Inpainting
Wei Xiong
Jiahui Yu
Zhe-nan Lin
Jimei Yang
Xin Lu
Connelly Barnes
Jiebo Luo
19
341
0
17 Jan 2019
Image Disentanglement and Uncooperative Re-Entanglement for
  High-Fidelity Image-to-Image Translation
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation
Adam W. Harley
S. Wei
Jason M. Saragih
Katerina Fragkiadaki
27
5
0
11 Jan 2019
Improving MMD-GAN Training with Repulsive Loss Function
Improving MMD-GAN Training with Repulsive Loss Function
Wei Wang
Yuan Sun
Saman K. Halgamuge
GAN
17
79
0
24 Dec 2018
Disentangling Latent Space for VAE by Label Relevant/Irrelevant
  Dimensions
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions
Zhilin Zheng
Li Sun
CML
CoGe
DRL
18
46
0
22 Dec 2018
Unsupervised Image Decomposition in Vector Layers
Unsupervised Image Decomposition in Vector Layers
Othman Sbai
Camille Couprie
Mathieu Aubry
41
8
0
13 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,368
0
12 Dec 2018
SMIT: Stochastic Multi-Label Image-to-Image Translation
SMIT: Stochastic Multi-Label Image-to-Image Translation
Andrés Romero
Pablo Arbelaez
Luc Van Gool
Radu Timofte
25
66
0
10 Dec 2018
Learning to Take Directions One Step at a Time
Learning to Take Directions One Step at a Time
Qiyang Hu
Adrian Waelchli
Tiziano Portenier
Matthias Zwicker
Paolo Favaro
GAN
VGen
22
12
0
05 Dec 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical
  Images with Structured Image Decomposition
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition
Siqi Liu
Eli Gibson
Sasa Grbic
Zhoubing Xu
A. Setio
J. Yang
Bogdan Georgescu
Dorin Comaniciu
DiffM
MedIm
33
18
0
04 Dec 2018
A Spectral Regularizer for Unsupervised Disentanglement
A Spectral Regularizer for Unsupervised Disentanglement
Aditya A. Ramesh
Youngduck Choi
Yann LeCun
DRL
29
42
0
04 Dec 2018
GDPP: Learning Diverse Generations Using Determinantal Point Process
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki
Camille Couprie
M. Rivière
Mohamed Elhoseiny
26
64
0
30 Nov 2018
Image Generation from Layout
Image Generation from Layout
Bo Zhao
Lili Meng
Weidong Yin
Leonid Sigal
19
208
0
28 Nov 2018
Taking Control of Intra-class Variation in Conditional GANs Under Weak
  Supervision
Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision
Richard T. Marriott
S. Romdhani
Liming Chen
GAN
23
0
0
27 Nov 2018
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training
  of High-resolution Temporal GAN
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN
Masaki Saito
Shunta Saito
Masanori Koyama
Sosuke Kobayashi
26
145
0
22 Nov 2018
Spread Divergence
Spread Divergence
Mingtian Zhang
Peter Hayes
Thomas Bird
Raza Habib
David Barber
MedIm
UD
30
20
0
21 Nov 2018
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Ning Yu
Larry S. Davis
Mario Fritz
27
3
0
20 Nov 2018
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Guanya Shi
Xichen Shi
Michael O'Connell
Rose Yu
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
27
271
0
19 Nov 2018
Multimodal Densenet
Multimodal Densenet
Faisal Mahmood
Ziyun Yang
Thomas Ashley
Nicholas J. Durr
21
11
0
18 Nov 2018
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured
  Autonomy
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy
Naman Patel
Apoorva Nandini Saridena
A. Choromańska
Prashanth Krishnamurthy
Farshad Khorrami
12
18
0
12 Nov 2018
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text
  Generation
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation
Xiang Zhang
Yann LeCun
14
0
0
10 Nov 2018
Robustness of Conditional GANs to Noisy Labels
Robustness of Conditional GANs to Noisy Labels
Kerry J. Halupka
A. Khetan
Zinan Lin
Stephen Moore
NoLa
24
79
0
08 Nov 2018
Learning to Defend by Learning to Attack
Learning to Defend by Learning to Attack
Haoming Jiang
Zhehui Chen
Yuyang Shi
Bo Dai
T. Zhao
18
22
0
03 Nov 2018
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCV
TPM
31
618
0
02 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial
  Learning
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Wenbin Li
Wei Xiong
Haofu Liao
Jing Huo
Yang Gao
Jiebo Luo
GAN
30
44
0
01 Nov 2018
Discriminator Rejection Sampling
Discriminator Rejection Sampling
S. Azadi
Catherine Olsson
Trevor Darrell
Ian Goodfellow
Augustus Odena
27
130
0
16 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced
  Engineering Design and Analysis
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
M. A. Nabian
Hadi Meidani
PINN
AI4CE
21
57
0
11 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample
  Likelihoods in GANs
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji
Hamed Hassani
Rama Chellappa
S. Feizi
GAN
DRL
41
20
0
09 Oct 2018
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