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Diversity-Sensitive Conditional Generative Adversarial Networks

Diversity-Sensitive Conditional Generative Adversarial Networks

25 January 2019
Dingdong Yang
Seunghoon Hong
Y. Jang
Tianchen Zhao
Honglak Lee
    GAN
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Papers citing "Diversity-Sensitive Conditional Generative Adversarial Networks"

18 / 118 papers shown
Title
Hierarchical Modes Exploring in Generative Adversarial Networks
Hierarchical Modes Exploring in Generative Adversarial Networks
Mengxiao Hu
Jinlong Li
Maolin Hu
Tao Hu
GAN
6
2
0
05 Mar 2020
Max-Affine Spline Insights into Deep Generative Networks
Max-Affine Spline Insights into Deep Generative Networks
Randall Balestriero
Sébastien Paris
Richard Baraniuk
DRL
AI4CE
11
15
0
26 Feb 2020
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
6
152
0
11 Feb 2020
Pixel-wise Conditioned Generative Adversarial Networks for Image
  Synthesis and Completion
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion
Cyprien Ruffino
Romain Hérault
E. Laloy
Gilles Gasso
GAN
9
8
0
04 Feb 2020
Contextually Plausible and Diverse 3D Human Motion Prediction
Contextually Plausible and Diverse 3D Human Motion Prediction
M. S. Aliakbarian
F. Saleh
L. Petersson
Stephen Gould
Mathieu Salzmann
3DH
16
3
0
18 Dec 2019
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
12
1,712
0
04 Dec 2019
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent
  Semantic Sampling
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling
Xin Huang
Stephen G. McGill
Jonathan A. DeCastro
L. Fletcher
J. Leonard
B. Williams
Guy Rosman
GAN
14
76
0
28 Nov 2019
Noise Robust Generative Adversarial Networks
Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Tatsuya Harada
NoLa
OOD
14
30
0
26 Nov 2019
The Secret Revealer: Generative Model-Inversion Attacks Against Deep
  Neural Networks
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang
R. Jia
Hengzhi Pei
Wenxiao Wang
Bo-wen Li
D. Song
AAML
8
410
0
17 Nov 2019
A cost-effective method for improving and re-purposing large,
  pre-trained GANs by fine-tuning their class-embeddings
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings
Qi Li
Long Mai
Michael A. Alcorn
Anh Totti Nguyen
11
6
0
10 Oct 2019
Stochastic Conditional Generative Networks with Basis Decomposition
Stochastic Conditional Generative Networks with Basis Decomposition
Ze Wang
Xiuyuan Cheng
Guillermo Sapiro
Qiang Qiu
GAN
16
18
0
25 Sep 2019
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Xiaoming Yu
Yuanqi Chen
Thomas H. Li
Shan Liu
Ge Li
DRL
14
104
0
17 Sep 2019
On the Evaluation of Conditional GANs
On the Evaluation of Conditional GANs
Terrance Devries
Adriana Romero
Luis Villaseñor-Pineda
Graham W. Taylor
M. Drozdzal
EGVM
20
41
0
11 Jul 2019
Twin Auxiliary Classifiers GAN
Twin Auxiliary Classifiers GAN
Mingming Gong
Yanwu Xu
Chunyuan Li
Kuncai Zhang
Kayhan Batmanghelich
16
33
0
05 Jul 2019
Point-to-Point Video Generation
Point-to-Point Video Generation
Tsun-Hsuan Wang
Y. Cheng
Chieh Hubert Lin
Hwann-Tzong Chen
Min Sun
VGen
DiffM
11
21
0
05 Apr 2019
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online
  Learning
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
A. Salem
Apratim Bhattacharyya
Michael Backes
Mario Fritz
Yang Zhang
FedML
AAML
MIACV
9
250
0
01 Apr 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate
  Modeling and Uncertainty Quantification without Labeled Data
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
Yinhao Zhu
N. Zabaras
P. Koutsourelakis
P. Perdikaris
PINN
AI4CE
26
853
0
18 Jan 2019
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
224
7,902
0
13 Jun 2015
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