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High-Fidelity Image Generation With Fewer Labels

High-Fidelity Image Generation With Fewer Labels

6 March 2019
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
    GAN
    OOD
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Papers citing "High-Fidelity Image Generation With Fewer Labels"

26 / 26 papers shown
Title
A Self Supervised StyleGAN for Image Annotation and Classification with
  Extremely Limited Labels
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
22
11
0
26 Dec 2023
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
Seogkyu Jeon
Bei Liu
Pilhyeon Lee
Kibeom Hong
Jianlong Fu
H. Byun
34
1
0
21 Aug 2023
Progressive Open Space Expansion for Open-Set Model Attribution
Progressive Open Space Expansion for Open-Set Model Attribution
Tianyun Yang
Danding Wang
Fan Tang
Xinying Zhao
Juan Cao
Sheng Tang
29
17
0
13 Mar 2023
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
24
152
0
16 Nov 2022
Text to Image Synthesis using Stacked Conditional Variational
  Autoencoders and Conditional Generative Adversarial Networks
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks
Haileleol Tibebu
Aadin Malik
V. D. Silva
GAN
18
7
0
06 Jul 2022
OSSGAN: Open-Set Semi-Supervised Image Generation
OSSGAN: Open-Set Semi-Supervised Image Generation
Kai Katsumata
D. Vo
Hideki Nakayama
VLM
GAN
22
5
0
29 Apr 2022
Holistic Fault Detection and Diagnosis System in Imbalanced, Scarce,
  Multi-Domain (ISMD) Data Setting for Component-Level Prognostics and Health
  Management (PHM)
Holistic Fault Detection and Diagnosis System in Imbalanced, Scarce, Multi-Domain (ISMD) Data Setting for Component-Level Prognostics and Health Management (PHM)
A. Rohan
AI4CE
20
10
0
18 Mar 2022
Self-Distilled StyleGAN: Towards Generation from Internet Photos
Self-Distilled StyleGAN: Towards Generation from Internet Photos
Ron Mokady
Michal Yarom
Omer Tov
Oran Lang
Daniel Cohen-Or
Tali Dekel
Michal Irani
Inbar Mosseri
33
44
0
24 Feb 2022
High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
20
61
0
16 Dec 2021
Selective Synthetic Augmentation with HistoGAN for Improved
  Histopathology Image Classification
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Yuan Xue
Jiarong Ye
Qianying Zhou
L. R. Long
Sameer Kiran Antani
Z. Xue
Carl Cornwell
R. Zaino
K. Cheng
Xiaolei Huang
MedIm
174
101
0
10 Nov 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
32
173
0
17 Sep 2021
Instance-Conditioned GAN
Instance-Conditioned GAN
Arantxa Casanova
Marlene Careil
Jakob Verbeek
M. Drozdzal
Adriana Romero Soriano
GAN
199
132
0
10 Sep 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
60
7,399
0
11 May 2021
Diverse Image Generation via Self-Conditioned GANs
Diverse Image Generation via Self-Conditioned GANs
Steven Liu
Tongzhou Wang
David Bau
Jun-Yan Zhu
Antonio Torralba
SyDa
22
107
0
18 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided
  Adversarial Autoencoder
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder
Kazi Nazmul Haque
R. Rana
Björn W Schuller
DRL
24
12
0
01 Jun 2020
Effective Data Augmentation with Multi-Domain Learning GANs
Effective Data Augmentation with Multi-Domain Learning GANs
Shinýa Yamaguchi
Sekitoshi Kanai
Takeharu Eda
6
27
0
25 Dec 2019
Adversarial Representation Active Learning
Adversarial Representation Active Learning
A. Mottaghi
Serena Yeung
VLM
GAN
9
29
0
20 Dec 2019
Semantic Bottleneck Scene Generation
Semantic Bottleneck Scene Generation
S. Azadi
Michael Tschannen
Eric Tzeng
Sylvain Gelly
Trevor Darrell
Mario Lucic
15
29
0
26 Nov 2019
Learning to Predict Layout-to-image Conditional Convolutions for
  Semantic Image Synthesis
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu
Guojun Yin
Jing Shao
Xiaogang Wang
Hongsheng Li
32
204
0
15 Oct 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
17
542
0
04 Jul 2019
Towards Generalized Speech Enhancement with Generative Adversarial
  Networks
Towards Generalized Speech Enhancement with Generative Adversarial Networks
Santiago Pascual
Joan Serra
A. Bonafonte
GAN
18
31
0
06 Apr 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
262
10,344
0
12 Dec 2018
A Large-Scale Study on Regularization and Normalization in GANs
A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
AI4CE
13
154
0
12 Jul 2018
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,189
0
30 Oct 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
210
1,156
0
24 Oct 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,543
0
25 Jan 2016
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