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It Takes (Only) Two: Adversarial Generator-Encoder Networks

It Takes (Only) Two: Adversarial Generator-Encoder Networks

7 April 2017
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
    GAN
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Papers citing "It Takes (Only) Two: Adversarial Generator-Encoder Networks"

16 / 16 papers shown
Title
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
24
501
0
07 Mar 2023
Human Image Generation: A Comprehensive Survey
Human Image Generation: A Comprehensive Survey
Zhen Jia
Zhang Zhang
Liangsheng Wang
T. Tan
EGVM
3DH
VGen
27
5
0
17 Dec 2022
Generative Model without Prior Distribution Matching
Generative Model without Prior Distribution Matching
Cong Geng
Jia Wang
L. Chen
Zhiyong Gao
GAN
88
1
0
23 Sep 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation
  and Maximization
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
Zhiwen Zuo
Lei Zhao
Zhizhong Wang
Haibo Chen
Ailin Li
Qijiang Xu
Wei Xing
Dongming Lu
GAN
32
0
0
08 Aug 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
19
294
0
09 Jun 2020
Regularization Methods for Generative Adversarial Networks: An Overview
  of Recent Studies
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Minhyeok Lee
Junhee Seok
GAN
12
25
0
19 May 2020
Unconditional Audio Generation with Generative Adversarial Networks and
  Cycle Regularization
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization
Jen-Yu Liu
Yu-Hua Chen
Yin-Cheng Yeh
Yi-Hsuan Yang
GAN
19
35
0
18 May 2020
Adversarial Latent Autoencoders
Adversarial Latent Autoencoders
Stanislav Pidhorskyi
Donald Adjeroh
Gianfranco Doretto
GAN
DRL
31
259
0
09 Apr 2020
Deep Automodulators
Deep Automodulators
Ari Heljakka
Yuxin Hou
Juho Kannala
Arno Solin
18
5
0
21 Dec 2019
Invert and Defend: Model-based Approximate Inversion of Generative
  Adversarial Networks for Secure Inference
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Wei-An Lin
Yogesh Balaji
Pouya Samangouei
Rama Chellappa
12
6
0
23 Nov 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
19
61
0
09 Oct 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
19
542
0
04 Jul 2019
Towards Photographic Image Manipulation with Balanced Growing of
  Generative Autoencoders
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
Ari Heljakka
Arno Solin
Juho Kannala
DRL
CVBM
19
15
0
12 Apr 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
19
36
0
24 Jan 2019
Pioneer Networks: Progressively Growing Generative Autoencoder
Pioneer Networks: Progressively Growing Generative Autoencoder
Ari Heljakka
Arno Solin
Juho Kannala
GAN
DRL
15
41
0
09 Jul 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training
MGGAN: Solving Mode Collapse using Manifold Guided Training
Duhyeon Bang
Hyunjung Shim
GAN
19
77
0
12 Apr 2018
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