DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data (original) (raw)

Selectively increasing the diversity of GAN-generated samples

Przemysław Rokita

2022

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Multi-Generator Generative Adversarial Nets

trung khanh Le

Cornell University - arXiv, 2017

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HGAN: Hybrid generative adversarial network

Nasser Nasrabadi

Journal of Intelligent & Fuzzy Systems, 2021

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Generative Adversarial Network (GAN) to Generate Realistic Images

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International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2023

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Learning Generative Adversarial Networks from Multiple Data Sources

hung vu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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How Generative Adversarial Networks and Their Variants Work: An Overview of GAN

yongjun Hong

arXiv (Cornell University), 2017

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DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis

Jules-Raymond Tapamo

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA), 2019

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Towards improving the network architecture of GANs and their evaluation methods

Sukarna Barua

2019

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Mgan: Training Generative Adversarial Nets

Quan Hoang

2017

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How Generative Adversarial Networks and its variants Work: An Overview of GAN

yongjun Hong

arXiv (Cornell University), 2017

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JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels

Minje Park

IEEE Access

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Diverse Image Generation via Self-Conditioned GANs

David Bau

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

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Recent Advances of Generative Adversarial Networks in Computer Vision

yaxin lin

IEEE Access, 2018

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ArtGAN: Artwork synthesis with conditional categorical GANs

Hernan Aguirre

2017 IEEE International Conference on Image Processing (ICIP), 2017

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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Dimitris Metaxas

IEEE transactions on pattern analysis and machine intelligence, 2018

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Stacked Generative Adversarial Networks

Omid Poursaeed

CVPR, 2017

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GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs

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ArXiv, 2021

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Generative adversarial networks: a survey on applications and challenges

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International Journal of Multimedia Information Retrieval, 2020

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Exploring The Potential of Generative Adversarial Network: A Comparative Study Of GAN

IRJET Journal

IRJET, 2023

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A novel measure to evaluate generative adversarial networks based on direct analysis of generated images

Murray Loew

Neural Computing and Applications, 2021

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Generative Adversarial Networks : A Survey

Upasna Singh

2021

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Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality

Sukarna Barua

Cornell University - arXiv, 2019

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RemixNet: Generative Adversarial Networks for Mixing Multiple Inputs

Mehrdad Yazdani

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Advances of Generative Adversarial Networks: A Survey

Christoph Reich

2020

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On the Robustness of Quality Measures for GANs

Motasem Alfarra

2022

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Detail Me More: Improving GAN’s photo-realism of complex scenes

Qianli Feng

2021

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A SURVEY OF STATE-OF-THE-ART GAN- BASED APPROACHES TO IMAGE SYNTHESIS

Computer Science & Information Technology (CS & IT) Computer Science Conference Proceedings (CSCP)

Computer Science & Information Technology (CS & IT), 2019

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GANEx: A complete pipeline of training, inference and benchmarking GAN experiments

vajira thambawita

2019

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Inception generators for generative adversarial networks

Ramchand Hablani

International journal of health sciences

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Sparse Generative Adversarial Network

Ashkan Panahi

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019

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How Generative Adversarial Networks and Their Variants Work

yongjun Hong

ACM Computing Surveys

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