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A Generic Approach for Enhancing GANs by Regularized Latent Optimization

A Generic Approach for Enhancing GANs by Regularized Latent Optimization

7 December 2021
Yufan Zhou
Chunyuan Li
Changyou Chen
Jinhui Xu
ArXivPDFHTML

Papers citing "A Generic Approach for Enhancing GANs by Regularized Latent Optimization"

29 / 29 papers shown
Title
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck
  Kernels
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels
Yufan Zhou
Changyou Chen
Jinhui Xu
34
2
0
10 May 2021
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
Or Patashnik
Zongze Wu
Eli Shechtman
Daniel Cohen-Or
Dani Lischinski
CLIP
VLM
95
1,207
0
31 Mar 2021
Improved Autoregressive Modeling with Distribution Smoothing
Improved Autoregressive Modeling with Distribution Smoothing
Chenlin Meng
Jiaming Song
Yang Song
Shengjia Zhao
Stefano Ermon
DiffM
48
23
0
28 Mar 2021
Large Scale Image Completion via Co-Modulated Generative Adversarial
  Networks
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao
Jianwei Cui
Yilun Sheng
Yue Dong
Xiao Liang
E. Chang
Yan Xu
94
290
0
18 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
866
29,341
0
26 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
389
4,937
0
24 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
323
6,444
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
242
7,350
0
06 Oct 2020
Recurrent Feature Reasoning for Image Inpainting
Recurrent Feature Reasoning for Image Inpainting
Jingyuan Li
N. Wang
Lefei Zhang
Bo Du
Dacheng Tao
57
346
0
09 Aug 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
564
18,008
0
19 Jun 2020
Your GAN is Secretly an Energy-based Model and You Should use
  Discriminator Driven Latent Sampling
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che
Ruixiang Zhang
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Liam Paull
Yuan Cao
Yoshua Bengio
DiffM
DRL
60
114
0
12 Mar 2020
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
115
1,748
0
04 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
269
5,808
0
03 Dec 2019
Discriminator optimal transport
Discriminator optimal transport
A. Tanaka
OT
51
54
0
15 Oct 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong
Shiyu Chang
Yi Ding
Zhangyang Wang
GAN
62
263
0
11 Aug 2019
MirrorGAN: Learning Text-to-image Generation by Redescription
MirrorGAN: Learning Text-to-image Generation by Redescription
Tingting Qiao
Jing Zhang
Duanqing Xu
Dacheng Tao
VLM
GAN
61
540
0
14 Mar 2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Qi Mao
Hsin-Ying Lee
Hung-Yu Tseng
Siwei Ma
Ming-Hsuan Yang
GAN
73
406
0
13 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
547
10,551
0
12 Dec 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
249
5,391
0
28 Sep 2018
Diverse Image-to-Image Translation via Disentangled Representations
Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee
Hung-Yu Tseng
Jia-Bin Huang
M. Singh
Ming-Hsuan Yang
DRL
60
909
0
02 Aug 2018
Free-Form Image Inpainting with Gated Convolution
Free-Form Image Inpainting with Gated Convolution
Jiahui Yu
Zhe Lin
Jimei Yang
Xiaohui Shen
Xin Lu
Thomas Huang
DRL
63
1,715
0
10 Jun 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
127
2,482
0
12 Apr 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
155
4,437
0
16 Feb 2018
AttnGAN: Fine-Grained Text to Image Generation with Attentional
  Generative Adversarial Networks
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu
Pengchuan Zhang
Qiuyuan Huang
Han Zhang
Zhe Gan
Xiaolei Huang
Xiaodong He
GAN
ViT
105
1,716
0
28 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
125
7,351
0
27 Oct 2017
Gradient Estimators for Implicit Models
Gradient Estimators for Implicit Models
Yingzhen Li
Richard Turner
97
108
0
19 May 2017
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model
  Evaluation
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation
Qiang Liu
Jason D. Lee
Michael I. Jordan
100
483
0
10 Feb 2016
An Introduction to Matrix Concentration Inequalities
An Introduction to Matrix Concentration Inequalities
J. Tropp
153
1,149
0
07 Jan 2015
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
403
43,619
0
01 May 2014
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