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Few-shot Image Generation with Mixup-based Distance Learning

Few-shot Image Generation with Mixup-based Distance Learning

23 November 2021
Chaerin Kong
Jeesoo Kim
D. Han
Nojun Kwak
ArXivPDFHTML

Papers citing "Few-shot Image Generation with Mixup-based Distance Learning"

27 / 27 papers shown
Title
When do GANs replicate? On the choice of dataset size
When do GANs replicate? On the choice of dataset size
Qianli Feng
Chen Guo
Fabian Benitez-Quiroz
Aleix M. Martinez
194
54
0
23 Feb 2022
High-Fidelity GAN Inversion for Image Attribute Editing
High-Fidelity GAN Inversion for Image Attribute Editing
Tengfei Wang
Yong Zhang
Yanbo Fan
Jue Wang
Qifeng Chen
DiffM
255
250
0
14 Sep 2021
Few-shot Image Generation via Cross-domain Correspondence
Few-shot Image Generation via Cross-domain Correspondence
Utkarsh Ojha
Yijun Li
Jingwan Lu
Alexei A. Efros
Yong Jae Lee
Eli Shechtman
Richard Y. Zhang
93
262
0
13 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
75
143
0
07 Apr 2021
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement
Yuval Alaluf
Or Patashnik
Daniel Cohen-Or
79
347
0
06 Apr 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot
  Image Synthesis
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu
Yizhe Zhu
Kunpeng Song
Ahmed Elgammal
216
239
0
12 Jan 2021
Improved StyleGAN Embedding: Where are the Good Latents?
Improved StyleGAN Embedding: Where are the Good Latents?
Peihao Zhu
Rameen Abdal
Yipeng Qin
John C. Femiani
Peter Wonka
51
117
0
13 Dec 2020
Few-shot Image Generation with Elastic Weight Consolidation
Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li
Richard Y. Zhang
Jingwan Lu
Eli Shechtman
3DH
72
169
0
04 Dec 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 2020
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
70
100
0
22 Oct 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
89
606
0
18 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
353
6,792
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
129
1,882
0
11 Jun 2020
Improved Techniques for Training Single-Image GANs
Improved Techniques for Training Single-Image GANs
Tobias Hinz
Matthew Fisher
Oliver Wang
S. Wermter
GAN
VLM
48
145
0
25 Mar 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
72
213
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
44
189
0
11 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
262
5,808
0
03 Dec 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
89
681
0
21 Nov 2019
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GAN
VLM
90
841
0
02 May 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
95
861
0
15 Apr 2019
Diversity-Sensitive Conditional Generative Adversarial Networks
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang
Seunghoon Hong
Y. Jang
Tianchen Zhao
Honglak Lee
GAN
92
216
0
25 Jan 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
537
10,540
0
12 Dec 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
342
11,784
0
11 Jan 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
273
9,759
0
25 Oct 2017
Multi-Agent Diverse Generative Adversarial Networks
Multi-Agent Diverse Generative Adversarial Networks
Arna Ghosh
Viveka Kulharia
Vinay P. Namboodiri
Philip Torr
P. Dokania
GAN
65
306
0
10 Apr 2017
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
329
4,572
0
13 Nov 2016
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
14,005
0
19 Nov 2015
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