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Efficient Conditional GAN Transfer with Knowledge Propagation across
  Classes
v1v2 (latest)

Efficient Conditional GAN Transfer with Knowledge Propagation across Classes

12 February 2021
Mohamad Shahbazi
Zhiwu Huang
D. Paudel
Ajad Chhatkuli
Luc Van Gool
ArXiv (abs)PDFHTMLGithub (45★)

Papers citing "Efficient Conditional GAN Transfer with Knowledge Propagation across Classes"

33 / 33 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Generative Adversarial Networks for Image and Video Synthesis:
  Algorithms and Applications
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
93
155
0
06 Aug 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
91
608
0
18 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
42
121
0
13 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
159
1,886
0
11 Jun 2020
On Leveraging Pretrained GANs for Generation with Limited Data
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao
Yulai Cong
Lawrence Carin
66
21
0
26 Feb 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
85
214
0
25 Feb 2020
MineGAN: effective knowledge transfer from GANs to target domains with
  few images
MineGAN: effective knowledge transfer from GANs to target domains with few images
Yaxing Wang
Abel Gonzalez-Garcia
David Berga
Luis Herranz
Fahad Shahbaz Khan
Joost van de Weijer
GAN
46
189
0
11 Dec 2019
cGANs with Multi-Hinge Loss
cGANs with Multi-Hinge Loss
Ilya Kavalerov
W. Czaja
Rama Chellappa
GANAI4CE
46
23
0
09 Dec 2019
Open Compound Domain Adaptation
Open Compound Domain Adaptation
Ziwei Liu
Zhongqi Miao
Xingang Pan
Xiaohang Zhan
Dahua Lin
Stella X. Yu
Boqing Gong
85
131
0
08 Sep 2019
Sliced Wasserstein Generative Models
Jiqing Wu
Zhiwu Huang
Dinesh Acharya
Wen Li
Janine Thoma
D. Paudel
Luc Van Gool
DiffM
115
126
0
10 Apr 2019
Image Generation From Small Datasets via Batch Statistics Adaptation
Image Generation From Small Datasets via Batch Statistics Adaptation
Atsuhiro Noguchi
Tatsuya Harada
72
202
0
03 Apr 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
156
2,688
0
18 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
583
10,561
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
262
5,394
0
28 Sep 2018
An empirical study on evaluation metrics of generative adversarial
  networks
An empirical study on evaluation metrics of generative adversarial networks
Qiantong Xu
Gao Huang
Yang Yuan
Chuan Guo
Yu Sun
Felix Wu
Kilian Q. Weinberger
EGVM
63
271
0
19 Jun 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
148
3,726
0
21 May 2018
Transferring GANs: generating images from limited data
Transferring GANs: generating images from limited data
Yaxing Wang
Chenshen Wu
Luis Herranz
Joost van de Weijer
Abel Gonzalez-Garcia
Bogdan Raducanu
71
286
0
04 May 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
123
1,220
0
23 Apr 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELMCLL
193
2,888
0
21 Feb 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
76
771
0
15 Feb 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
298
4,050
0
16 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
137
7,361
0
27 Oct 2017
Modulating early visual processing by language
Modulating early visual processing by language
H. D. Vries
Florian Strub
Jérémie Mary
Hugo Larochelle
Olivier Pietquin
Aaron Courville
115
489
0
02 Jul 2017
Geometric GAN
Geometric GAN
Jae Hyun Lim
J. C. Ye
GAN
64
518
0
08 May 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
262
4,667
0
17 Feb 2017
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
298
4,408
0
29 Jun 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OODGAN
96
1,625
0
24 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
81
5
0
30 May 2016
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
362
19,660
0
09 Mar 2015
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
258
10,409
0
06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
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