ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.06676
  4. Cited By
Training Generative Adversarial Networks with Limited Data

Training Generative Adversarial Networks with Limited Data

11 June 2020
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
    GAN
ArXivPDFHTML

Papers citing "Training Generative Adversarial Networks with Limited Data"

50 / 1,049 papers shown
Title
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
Gaurav Parmar
Yijun Li
Jingwan Lu
Richard Y. Zhang
Jun-Yan Zhu
Krishna Kumar Singh
DiffM
29
50
0
16 Jun 2022
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
Katja Schwarz
Axel Sauer
Michael Niemeyer
Yiyi Liao
Andreas Geiger
31
146
0
15 Jun 2022
Subsurface Depths Structure Maps Reconstruction with Generative
  Adversarial Networks
Subsurface Depths Structure Maps Reconstruction with Generative Adversarial Networks
D. Ivlev
GAN
11
0
0
15 Jun 2022
Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free
  Backdoor Removal via Stabilized Model Inversion
Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion
Si-An Chen
Yi Zeng
J. T.Wang
Won Park
Xun Chen
Lingjuan Lyu
Zhuoqing Mao
R. Jia
18
3
0
14 Jun 2022
Is Self-Supervised Learning More Robust Than Supervised Learning?
Is Self-Supervised Learning More Robust Than Supervised Learning?
Yuanyi Zhong
Haoran Tang
Jun-Kun Chen
Jian-wei Peng
Yu-xiong Wang
SSL
OOD
27
24
0
10 Jun 2022
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Sang-gil Lee
Ming-Yu Liu
Boris Ginsburg
Bryan Catanzaro
Sung-Hoon Yoon
22
228
0
09 Jun 2022
Generating Long Videos of Dynamic Scenes
Generating Long Videos of Dynamic Scenes
Tim Brooks
Janne Hellsten
M. Aittala
Ting-Chun Wang
Timo Aila
J. Lehtinen
Xuan Li
Alexei A. Efros
Tero Karras
SyDa
9
101
0
07 Jun 2022
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with
  Learned Morph Maps
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Seung Wook Kim
Karsten Kreis
Daiqing Li
Antonio Torralba
Sanja Fidler
GAN
39
5
0
06 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
DiffM
26
221
0
05 Jun 2022
Compositional Visual Generation with Composable Diffusion Models
Compositional Visual Generation with Composable Diffusion Models
Nan Liu
Shuang Li
Yilun Du
Antonio Torralba
J. Tenenbaum
DiffM
CoGe
37
498
0
03 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
52
1,839
0
01 Jun 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
Zohreh Azizi
C.-C. Jay Kuo
VLM
DiffM
GAN
33
8
0
01 Jun 2022
PandA: Unsupervised Learning of Parts and Appearances in the Feature
  Maps of GANs
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
James Oldfield
Christos Tzelepis
Yannis Panagakis
M. Nicolaou
Ioannis Patras
GAN
25
23
0
31 May 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Liang Hou
Qi Cao
Yige Yuan
Songtao Zhao
Chongyang Ma
Siyuan Pan
Pengfei Wan
Xiaoshuang Li
Huawei Shen
Xueqi Cheng
23
7
0
31 May 2022
MontageGAN: Generation and Assembly of Multiple Components by GANs
MontageGAN: Generation and Assembly of Multiple Components by GANs
Chean Fei Shee
Seiichi Uchida
GAN
26
0
0
31 May 2022
Looks Like Magic: Transfer Learning in GANs to Generate New Card
  Illustrations
Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations
Matheus K. Venturelli
P. H. Gomes
Jonatas Wehrmann
GAN
23
1
0
28 May 2022
Enhancing Quality of Pose-varied Face Restoration with Local Weak
  Feature Sensing and GAN Prior
Enhancing Quality of Pose-varied Face Restoration with Local Weak Feature Sensing and GAN Prior
Kaigeng Hu
Yu Liu
Renhe Liu
Wei Lu
Gang Yu
Bin-Bin Fu
CVBM
28
3
0
28 May 2022
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty
  Detection
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection
Hossein Mirzaei
Mohammadreza Salehi
Sajjad Shahabi
E. Gavves
Cees G. M. Snoek
Mohammad Sabokrou
M. Rohban
OOD
13
6
0
28 May 2022
Video2StyleGAN: Disentangling Local and Global Variations in a Video
Video2StyleGAN: Disentangling Local and Global Variations in a Video
Rameen Abdal
Peihao Zhu
Niloy J. Mitra
Peter Wonka
VGen
30
7
0
27 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
213
52
0
27 May 2022
One-Shot Face Reenactment on Megapixels
One-Shot Face Reenactment on Megapixels
Wonjun Kang
Geonsu Lee
H. Koo
N. Cho
CVBM
46
7
0
26 May 2022
Cross-Domain Style Mixing for Face Cartoonization
Cross-Domain Style Mixing for Face Cartoonization
Seungkwon Kim
Chaeheon Gwak
Dohyun Kim
K. Lee
Jihye Back
Namhyuk Ahn
Daesik Kim
CVBM
45
7
0
25 May 2022
Evidence for Hypodescent in Visual Semantic AI
Evidence for Hypodescent in Visual Semantic AI
Robert Wolfe
M. Banaji
Aylin Caliskan
VLM
30
36
0
22 May 2022
Covariance Matrix Adaptation MAP-Annealing
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine
Stefanos Nikolaidis
48
25
0
22 May 2022
Principled Knowledge Extrapolation with GANs
Principled Knowledge Extrapolation with GANs
Ruili Feng
Jie Xiao
Kecheng Zheng
Deli Zhao
Jingren Zhou
Qibin Sun
Zhengjun Zha
62
8
0
21 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and
  Normalizing Flow Toward Energy-Based Model
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
Jianwen Xie
Y. Zhu
Juntao Li
Ping Li
24
50
0
13 May 2022
Overparameterization Improves StyleGAN Inversion
Overparameterization Improves StyleGAN Inversion
Yohan Poirier-Ginter
Alexandre Lessard
Ryan Smith
Jean-François Lalonde
43
4
0
12 May 2022
Tensor-based Emotion Editing in the StyleGAN Latent Space
Tensor-based Emotion Editing in the StyleGAN Latent Space
René Haas
Stella Grasshof
Sami S. Brandt
CVBM
14
9
0
12 May 2022
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image
  Generation
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation
Xintian Wu
Huanyu Wang
Yiming Wu
Xi Li
19
2
0
12 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Bat-Sheva Einbinder
Yaniv Romano
Matteo Sesia
Yanfei Zhou
UQCV
23
48
0
12 May 2022
A Closer Look at Few-shot Image Generation
A Closer Look at Few-shot Image Generation
Yunqing Zhao
Henghui Ding
Houjing Huang
Ngai-man Cheung
34
72
0
08 May 2022
Generate and Edit Your Own Character in a Canonical View
Generate and Edit Your Own Character in a Canonical View
Jeong-gi Kwak
Yuanming Li
Dongsik Yoon
D. Han
Hanseok Ko
14
3
0
06 May 2022
Generative Adversarial Network Based Synthetic Learning and a Novel
  Domain Relevant Loss Term for Spine Radiographs
Generative Adversarial Network Based Synthetic Learning and a Novel Domain Relevant Loss Term for Spine Radiographs
E. Schonfeld
A. Veeravagu
MedIm
21
1
0
05 May 2022
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion
  Classification
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification
M. Golhar
Taylor L. Bobrow
S. Ngamruengphong
Nicholas J. Durr
MedIm
27
8
0
04 May 2022
End-to-End Visual Editing with a Generatively Pre-Trained Artist
End-to-End Visual Editing with a Generatively Pre-Trained Artist
A. Brown
Cheng-Yang Fu
Omkar M. Parkhi
Tamara L. Berg
Andrea Vedaldi
DiffM
32
8
0
03 May 2022
BiOcularGAN: Bimodal Synthesis and Annotation of Ocular Images
BiOcularGAN: Bimodal Synthesis and Annotation of Ocular Images
Darian Tomašević
Peter Peer
Vitomir Štruc
29
2
0
03 May 2022
OSSGAN: Open-Set Semi-Supervised Image Generation
OSSGAN: Open-Set Semi-Supervised Image Generation
Kai Katsumata
D. Vo
Hideki Nakayama
VLM
GAN
24
6
0
29 Apr 2022
Fix the Noise: Disentangling Source Feature for Transfer Learning of
  StyleGAN
Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN
Dong-Yeon Lee
Jae Young Lee
Doyeon Kim
Jaehyun Choi
Junmo Kim
38
2
0
29 Apr 2022
An Overview of Recent Work in Media Forensics: Methods and Threats
An Overview of Recent Work in Media Forensics: Methods and Threats
Kratika Bhagtani
A. Yadav
Emily R. Bartusiak
Ziyue Xiang
Ruiting Shao
Sriram Baireddy
Edward J. Delp
AAML
52
25
0
26 Apr 2022
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic
  Style-Transfer
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
Shahaf Ettedgui
Shady Abu Hussein
Raja Giryes
29
16
0
25 Apr 2022
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
Jianglin Fu
Shikai Li
Yuming Jiang
Kwan-Yee Lin
Chao Qian
Chen Change Loy
Wayne Wu
Ziwei Liu
3DH
53
147
0
25 Apr 2022
A Comprehensive Survey on Data-Efficient GANs in Image Generation
A Comprehensive Survey on Data-Efficient GANs in Image Generation
Ziqiang Li
Beihao Xia
Jing Zhang
Chaoyue Wang
Bin Li
19
33
0
18 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
G. Loaiza-Ganem
Brendan Leigh Ross
Jesse C. Cresswell
Anthony L. Caterini
GAN
DRL
19
28
0
14 Apr 2022
Any-resolution Training for High-resolution Image Synthesis
Any-resolution Training for High-resolution Image Synthesis
Lucy Chai
Michael Gharbi
Eli Shechtman
Phillip Isola
Richard Y. Zhang
35
66
0
14 Apr 2022
medXGAN: Visual Explanations for Medical Classifiers through a
  Generative Latent Space
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space
Amil Dravid
Florian Schiffers
Boqing Gong
Aggelos K. Katsaggelos
GAN
MedIm
30
9
0
11 Apr 2022
Commonality in Natural Images Rescues GANs: Pretraining GANs with
  Generic and Privacy-free Synthetic Data
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data
Kyungjune Baek
Hyunjung Shim
30
12
0
11 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
21
38
0
10 Apr 2022
On the Exploitation of Deepfake Model Recognition
On the Exploitation of Deepfake Model Recognition
Luca Guarnera
O. Giudice
Matthias Niessner
Sebastiano Battiato
32
19
0
09 Apr 2022
Unsupervised Image-to-Image Translation with Generative Prior
Unsupervised Image-to-Image Translation with Generative Prior
Shuai Yang
Liming Jiang
Ziwei Liu
Chen Change Loy
GAN
28
33
0
07 Apr 2022
PetroGAN: A novel GAN-based approach to generate realistic, label-free
  petrographic datasets
PetroGAN: A novel GAN-based approach to generate realistic, label-free petrographic datasets
I. Ferreira
L. Ochoa
A. Koeshidayatullah
GAN
23
1
0
07 Apr 2022
Previous
123...141516...192021
Next