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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 / 1,048 papers shown
Title
Three-dimensional Bone Image Synthesis with Generative Adversarial
  Networks
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks
Christoph Angermann
Johannes Bereiter-Payr
Kerstin Stock
Markus Haltmeier
Gerald Degenhart
MedIm
30
1
0
26 Oct 2023
Learning Robust Deep Visual Representations from EEG Brain Recordings
Learning Robust Deep Visual Representations from EEG Brain Recordings
Prajwal Singh
Dwip Dalal
Gautam Vashishtha
KrishnaP Miyapuram
Shanmuganathan Raman
35
19
0
25 Oct 2023
A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric
  Systems
A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems
Banafsheh Adami
Sara Tehranipoor
Nasser M. Nasrabadi
Nima Karimian
AAML
8
7
0
23 Oct 2023
One-for-All: Towards Universal Domain Translation with a Single StyleGAN
One-for-All: Towards Universal Domain Translation with a Single StyleGAN
Yong Du
Jiahui Zhan
Shengfeng He
Xinzhe Li
Junyu Dong
Sheng Chen
Ming-Hsuan Yang
VLM
33
2
0
22 Oct 2023
Improved Techniques for Training Consistency Models
Improved Techniques for Training Consistency Models
Yang Song
Prafulla Dhariwal
34
149
0
22 Oct 2023
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity
  Metrics For Science And Machine Learning
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
Amey P. Pasarkar
Adji Bousso Dieng
27
11
0
19 Oct 2023
On the Distributed Evaluation of Generative Models
On the Distributed Evaluation of Generative Models
Zixiao Wang
Farzan Farnia
Zhenghao Lin
Yunheng Shen
Bei Yu
EGVM
FedML
21
2
0
18 Oct 2023
HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending
HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending
Tianyi Wei
Dongdong Chen
Wenbo Zhou
Jing Liao
Weiming Zhang
Gang Hua
Neng H. Yu
34
12
0
16 Oct 2023
Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments
Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments
Shuang Song
Yuanbang Liang
Jing Wu
Yu-Kun Lai
Yipeng Qin
MedIm
18
0
0
13 Oct 2023
Debias the Training of Diffusion Models
Debias the Training of Diffusion Models
Huikang Yu
Li Shen
Jie Huang
Man Zhou
Hongsheng Li
Feng Zhao
DiffM
24
3
0
12 Oct 2023
CleftGAN: Adapting A Style-Based Generative Adversarial Network To
  Create Images Depicting Cleft Lip Deformity
CleftGAN: Adapting A Style-Based Generative Adversarial Network To Create Images Depicting Cleft Lip Deformity
Abdullah Hayajneh
E. Serpedin
M. Shaqfeh
Graeme Glass
M. Stotland
GAN
MedIm
33
2
0
12 Oct 2023
BrainVoxGen: Deep learning framework for synthesis of Ultrasound to MRI
BrainVoxGen: Deep learning framework for synthesis of Ultrasound to MRI
Shubham Singh
Mrunal Bewoor
Ammar Ranapurwala
Satyam Rai
Sheetal Patil
MedIm
30
1
0
11 Oct 2023
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative
  Models
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
Sebastian G. Gruber
Florian Buettner
UQCV
UD
18
1
0
09 Oct 2023
FluxGAN: A Physics-Aware Generative Adversarial Network Model for
  Generating Microstructures That Maintain Target Heat Flux
FluxGAN: A Physics-Aware Generative Adversarial Network Model for Generating Microstructures That Maintain Target Heat Flux
A. Pimachev
Manoj Settipalli
Sanghamitra Neogi
AI4CE
35
0
0
06 Oct 2023
Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Edition
Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Edition
Patrick J. Tinsley
Sandip Purnapatra
Mahsa Mitcheff
Aidan Boyd
Colton R. Crum
...
Guangzhe Zhao
Juan Tapia
Christoph Busch
Carlos Aravena
Daniel Schulz
VLM
54
8
0
06 Oct 2023
Enhancing the Authenticity of Rendered Portraits with
  Identity-Consistent Transfer Learning
Enhancing the Authenticity of Rendered Portraits with Identity-Consistent Transfer Learning
Luyuan Wang
Yiqian Wu
Yongliang Yang
Chen Liu
Xiaogang Jin
18
1
0
06 Oct 2023
Observation-Guided Diffusion Probabilistic Models
Observation-Guided Diffusion Probabilistic Models
Junoh Kang
Jinyoung Choi
Sungik Choi
Bohyung Han
34
1
0
06 Oct 2023
Accelerated Neural Network Training with Rooted Logistic Objectives
Accelerated Neural Network Training with Rooted Logistic Objectives
Zhu Wang
Praveen Raj Veluswami
Harshit Mishra
Sathya Ravi
32
0
0
05 Oct 2023
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Marien Renaud
Jiaming Liu
Valentin De Bortoli
Andrés Almansa
Ulugbek S. Kamilov
48
5
0
05 Oct 2023
MUNCH: Modelling Unique Ñ Controllable Heads
MUNCH: Modelling Unique Ñ Controllable Heads
Debayan Deb
Suvidha Tripathi
Pranit Puri
DiffM
16
1
0
04 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks
Analyzing and Improving Optimal-Transport-based Adversarial Networks
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
OT
32
4
0
04 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
31
18
0
03 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory
  of Diffusion
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim
Chieh-Hsin Lai
Wei-Hsiang Liao
Naoki Murata
Yuhta Takida
Toshimitsu Uesaka
Yutong He
Yuki Mitsufuji
Stefano Ermon
DiffM
38
170
0
01 Oct 2023
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering
Linjie Lyu
A. Tewari
Marc Habermann
Shunsuke Saito
Michael Zollhöfer
Thomas Leimkuhler
Christian Theobalt
DiffM
21
3
0
30 Sep 2023
Structural Adversarial Objectives for Self-Supervised Representation
  Learning
Structural Adversarial Objectives for Self-Supervised Representation Learning
Xiao Zhang
Michael Maire
16
0
0
30 Sep 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive
  Survey
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen
Zihui Yan
Yunjie Zhu
29
3
0
30 Sep 2023
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence
  Analysis
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
Shirin Shoushtari
Jiaming Liu
Edward P. Chandler
M. Salman Asif
Ulugbek S. Kamilov
28
4
0
29 Sep 2023
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video
  Synthesis from Static Imagery
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery
Tasin Islam
A. Miron
Xiaohui Liu
Yongmin Li
DiffM
26
3
0
29 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
38
2
0
28 Sep 2023
Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation
Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation
Zheyuan Yang
Yibo Liu
Guile Wu
Tongtong Cao
Y. Ren
Yang Liu
Bingbing Liu
32
4
0
28 Sep 2023
OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs
OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs
Honglin He
Zhuoqian Yang
Shikai Li
Elizabeth M. Bonsignore
Wayne Wu
35
7
0
27 Sep 2023
Subjective Face Transform using Human First Impressions
Subjective Face Transform using Human First Impressions
Chaitanya Roygaga
Joshua Krinsky
Kai Zhang
Kenny Kwok
Aparna Bharati
CVBM
41
0
0
27 Sep 2023
In-Domain GAN Inversion for Faithful Reconstruction and Editability
In-Domain GAN Inversion for Faithful Reconstruction and Editability
Jiapeng Zhu
Yujun Shen
Yinghao Xu
Deli Zhao
Qifeng Chen
Bolei Zhou
DiffM
28
4
0
25 Sep 2023
On the Posterior Distribution in Denoising: Application to Uncertainty
  Quantification
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
Hila Manor
T. Michaeli
UQCV
23
17
0
24 Sep 2023
TextCLIP: Text-Guided Face Image Generation And Manipulation Without
  Adversarial Training
TextCLIP: Text-Guided Face Image Generation And Manipulation Without Adversarial Training
Xiaozhou You
Jian Zhang
CLIP
VLM
15
0
0
21 Sep 2023
Language-driven Object Fusion into Neural Radiance Fields with
  Pose-Conditioned Dataset Updates
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
Kashun Shum
Jaeyeon Kim
Binh-Son Hua
Duc Thanh Nguyen
Sai-Kit Yeung
3DH
AI4CE
21
7
0
20 Sep 2023
UGC: Unified GAN Compression for Efficient Image-to-Image Translation
UGC: Unified GAN Compression for Efficient Image-to-Image Translation
Yuxi Ren
Jie Wu
Peng Zhang
Manlin Zhang
Xuefeng Xiao
Qian He
Rui Wang
Min Zheng
Xin Pan
24
2
0
17 Sep 2023
Enhancing GAN-Based Vocoders with Contrastive Learning Under
  Data-limited Condition
Enhancing GAN-Based Vocoders with Contrastive Learning Under Data-limited Condition
Haoming Guo
Seth Z. Zhao
Jiachen Lian
Gopala Anumanchipalli
Gerald Friedland
21
2
0
16 Sep 2023
Toward responsible face datasets: modeling the distribution of a
  disentangled latent space for sampling face images from demographic groups
Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups
Parsa Rahimi
Christophe Ecabert
S´ebastien Marcel
CVBM
26
5
0
15 Sep 2023
Dataset Condensation via Generative Model
Dataset Condensation via Generative Model
David Junhao Zhang
Heng Wang
Chuhui Xue
Rui Yan
Wenqing Zhang
Song Bai
Mike Zheng Shou
DD
26
11
0
14 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box
  Approach
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
Guillaume Jeanneret
Loïc Simon
Frédéric Jurie
DiffM
30
12
0
14 Sep 2023
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image
  Translation for Histopathology Images
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images
Zhiyun Song
Penghui Du
Junpeng Yan
Keqin Li
Jianzhong Shou
Maode Lai
Yubo Fan
Yan Xu
32
7
0
14 Sep 2023
Differentiable JPEG: The Devil is in the Details
Differentiable JPEG: The Devil is in the Details
Christoph Reich
Biplob K. Debnath
Deep Patel
S. Chakradhar
DiffM
21
8
0
13 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery
  Likelihood
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
Y. Zhu
Jianwen Xie
Yingnian Wu
Ruiqi Gao
DiffM
28
11
0
10 Sep 2023
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by
  Semantic Segmentation
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
Nikolai Korber
Eduard Kromer
Andreas Siebert
S. Hauke
Daniel Mueller-Gritschneder
Björn Schuller
DiffM
VLM
26
4
0
06 Sep 2023
Probabilistic Precision and Recall Towards Reliable Evaluation of
  Generative Models
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models
Dogyun Park
Suhyun Kim
EGVM
14
3
0
04 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors
Diffusion Models with Deterministic Normalizing Flow Priors
Mohsen Zand
Ali Etemad
Michael A. Greenspan
DiffM
34
2
0
03 Sep 2023
Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation
Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation
Fei Gao
Yifan Zhu
Changlong Jiang
N. Wang
CVBM
3DH
17
6
0
01 Sep 2023
Unsupervised evaluation of GAN sample quality: Introducing the TTJac
  Score
Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score
Egor Sevriugov
Ivan V. Oseledets
EGVM
25
0
0
31 Aug 2023
StyleInV: A Temporal Style Modulated Inversion Network for Unconditional
  Video Generation
StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
Yuhan Wang
Liming Jiang
Chen Change Loy
VGen
40
14
0
31 Aug 2023
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