ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.03608
  4. Cited By
Normalized Diversification

Normalized Diversification

7 April 2019
Shaohui Liu
Xiao Zhang
Jianqiao Wangni
Jianbo Shi
    GAN
    DiffM
ArXivPDFHTML

Papers citing "Normalized Diversification"

39 / 39 papers shown
Title
DiverseNet: When One Right Answer is not Enough
DiverseNet: When One Right Answer is not Enough
Michael Firman
Neill D. F. Campbell
Lourdes Agapito
Gabriel J. Brostow
3DH
OOD
67
24
0
24 Aug 2020
Multimodal Image Outpainting With Regularized Normalized Diversification
Multimodal Image Outpainting With Regularized Normalized Diversification
Lingzhi Zhang
Jiancong Wang
Jianbo Shi
DiffM
76
15
0
25 Oct 2019
BourGAN: Generative Networks with Metric Embeddings
BourGAN: Generative Networks with Metric Embeddings
Chang Xiao
Peilin Zhong
Changxi Zheng
GAN
62
69
0
19 May 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
124
2,481
0
12 Apr 2018
Cross-modal Deep Variational Hand Pose Estimation
Cross-modal Deep Variational Hand Pose Estimation
Adrian Spurr
Mingli Song
Seonwook Park
Otmar Hilliges
3DH
60
284
0
30 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
155
4,433
0
16 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
PacGAN: The power of two samples in generative adversarial networks
PacGAN: The power of two samples in generative adversarial networks
Zinan Lin
A. Khetan
Giulia Fanti
Sewoong Oh
GAN
68
333
0
12 Dec 2017
GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB
GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB
Franziska Mueller
Florian Bernard
Oleksandr Sotnychenko
Dushyant Mehta
Srinath Sridhar
Dan Casas
Christian Theobalt
3DH
84
520
0
04 Dec 2017
Toward Multimodal Image-to-Image Translation
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
118
1,351
0
30 Nov 2017
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density
  Network
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network
Qianru Ye
Tae-Kyun Kim
3DH
94
53
0
29 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
118
7,339
0
27 Oct 2017
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen
V. Koltun
58
950
0
28 Jul 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational
  Learning
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
SyDa
GAN
60
678
0
22 May 2017
Learning to Estimate 3D Hand Pose from Single RGB Images
Learning to Estimate 3D Hand Pose from Single RGB Images
Christiane Zimmermann
Thomas Brox
3DH
55
705
0
03 May 2017
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose
  Annotations
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations
Guillermo Garcia-Hernando
Shanxin Yuan
Seungryul Baek
Tae-Kyun Kim
EgoV
65
486
0
08 Apr 2017
Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor
Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor
Franziska Mueller
Dushyant Mehta
Oleksandr Sotnychenko
Srinath Sridhar
Dan Casas
Christian Theobalt
3DH
67
300
0
07 Apr 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
181
9,533
0
31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
100
1,153
0
31 Mar 2017
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
Jianmin Bao
Dong Chen
Fang Wen
Houqiang Li
Gang Hua
GAN
43
212
0
29 Mar 2017
Mode Regularized Generative Adversarial Networks
Mode Regularized Generative Adversarial Networks
Tong Che
Yanran Li
Athul Paul Jacob
Yoshua Bengio
Wenjie Li
GAN
101
552
0
07 Dec 2016
A Point Set Generation Network for 3D Object Reconstruction from a
  Single Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan
Hao Su
Leonidas Guibas
3DPC
3DV
157
2,235
0
02 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
311
19,612
0
21 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
93
1,003
0
07 Nov 2016
Generative Multi-Adversarial Networks
Generative Multi-Adversarial Networks
Ishan Durugkar
I. Gemp
Sridhar Mahadevan
GAN
61
342
0
05 Nov 2016
3D Hand Pose Tracking and Estimation Using Stereo Matching
3D Hand Pose Tracking and Estimation Using Stereo Matching
Jiawei Zhang
Jianbo Jiao
Mingliang Chen
Liangqiong Qu
Xiaobin Xu
Qingxiong Yang
196
146
0
23 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
466
9,027
0
10 Jun 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
191
3,143
0
17 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.0K
11,587
0
06 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
218
10,230
0
27 Mar 2016
Convolutional Pose Machines
Convolutional Pose Machines
S. Wei
V. Ramakrishna
T. Kanade
Yaser Sheikh
3DV
SSL
94
2,743
0
30 Jan 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
163
2,066
0
31 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
243
13,989
0
19 Nov 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
292
7,379
0
05 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy
  optimization
Training generative neural networks via Maximum Mean Discrepancy optimization
Gintare Karolina Dziugaite
Daniel M. Roy
Zoubin Ghahramani
GAN
84
530
0
14 May 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
227
8,391
0
28 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
411
43,589
0
17 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
379
43,524
0
01 May 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
424
16,944
0
20 Dec 2013
1