GAN Algorithm

Generative Adversarial Networks (GANs) are a class of deep learning models designed to generate new data instances that resemble a training dataset. Current research focuses on improving GAN stability and efficiency, exploring variations like Wasserstein GANs, StyleGANs, and CycleGANs, and addressing challenges such as mode collapse and training instability through techniques like persistent training and novel loss functions. These advancements are impacting diverse fields, including image enhancement (super-resolution, inpainting), data augmentation for improved classification accuracy, and creative applications like character design and medical image analysis, where GANs are used to address data scarcity and improve diagnostic capabilities.

Papers

October 22, 2024

Improving Insurance Catastrophic Data with Resampling and GAN Methods
Norbert Dzadz, Maciej Romaniuk
Natural Disaster Bootstrapping End to End GAN Based GAN Algorithm Fuzzy System Insurance Data

July 24, 2024

Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects
Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Vieira e Silva, Frederik Beuth, Danny Kowerko
Generative Adversarial Network Classification Code GAN Algorithm Defect Pattern Image Data Augmentation Semiconductor Wafer

May 31, 2024

Conditioning GAN Without Training Dataset
Kidist Amde Mekonnen
Training Data GAN Model Deep Learning Algorithm Generative Neural Network Conditional GANs GAN Algorithm

May 25, 2024

A Differential Equation Approach for Wasserstein GANs and Beyond
Zachariah Malik, Yu-Jui Huang
Generative Adversarial Network Adversarial Training Differential Equation Continual Training Wasserstein Gan GAN Algorithm

November 23, 2023

Human Machine Co-Creation. A Complementary Cognitive Approach to Creative Character Design Process Using GANs
Mohammad Lataifeh, Xavier A Carrascoa, Ashraf M Elnagara, Naveed Ahmeda, Imran Junejo
GAN Model Human AI Co Creation GAN Algorithm Cognitive Approach Adaptive Scaffolding Character Designer

August 30, 2023

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha
Timely Survey Generative Adversarial Network GAN Model State of the Art Last Decade GAN Algorithm

May 12, 2023

Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Siddarth Asokan, Chandra Sekhar Seelamantula
Generative Adversarial Network Pre Trained GAN Training Thy Neighbor GAN Algorithm

February 7, 2023

High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets
Yanbo Wang, Chuming Lin, Donghao Luo, Ying Tai, Zhizhong Zhang, Yuan Xie
GAN Inversion Degraded Image Image Collection State of the Art Datasets Noisy Input GAN Algorithm Regularized Newton Raphson Inversion

December 27, 2022

General GAN-generated image detection by data augmentation in fingerprint domain
Huaming Wang, Jianwei Fei, Yunshu Dai, Lingyun Leng, Zhihua Xia
Data Augmentation General Text GAN Algorithm Image Detection GAN Image GAN Fingerprint Progressive GAN

December 18, 2022

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
Mohammadali Fallahian, Mohsen Dorodchi, Kyle Kreth
Generative Adversarial Network Technical Challenge Tabular Data Solution Path GAN Architecture GAN Algorithm Story Summarization

November 30, 2022

FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution
Kyoungwan Woo, Achyuta Rajaram
Super Resolution Single Image Super Resolution GAN Algorithm Diffusion GAN

September 23, 2022

Recent trends and analysis of Generative Adversarial Networks in Cervical Cancer Imaging
Tamanna Sood
Generative Adversarial Network General Analysis Recent Trend Cervical Cancer GAN Algorithm

August 26, 2022

Learning From Positive and Unlabeled Data Using Observer-GAN
Omar Zamzam, Haleh Akrami, Richard Leahy
LeArning Abstract Generative Adversarial Network Unlabeled Data GAN Training Positive Emotional Language GAN Algorithm GAN Discriminator Learning Based Observer

July 3, 2022

On Convergence of Gradient Descent Ascent: A Tight Local Analysis
Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
Generative Adversarial Network Early Stage Convergence Convergence Rate Gradient Descent Ascent GAN Algorithm Stochastic Gradient Descent Ascent Tight Analysis

June 14, 2022

Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Sai Spandana Chintapalli, Ioanna Skampardoni, Lasya P. Sreepada, Dushyant Sahoo, Konstantina Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos
Generative Adversarial Network Financial Application Generative Question Generative Approach GAN Algorithm

May 15, 2022

Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review
Hazrat Ali, Zubair Shah
Artificial Intelligence Generative Adversarial Network Medical Image GAN Model Covid 19 Data Scarcity GAN Architecture Scoping Review GAN Algorithm

February 7, 2022

FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations
Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi
Deepfake Detector GAN Algorithm

January 28, 2022

Generalized Visual Quality Assessment of GAN-Generated Face Images
Yu Tian, Zhangkai Ni, Baoliang Chen, Shiqi Wang, Hanli Wang, Sam Kwong
Generative Adversarial Network Image Quality Assessment Face Image GAN Training GAN Algorithm GAN Generated Face

December 28, 2021

Investigating Shifts in GAN Output-Distributions
Ricard Durall, Janis Keuper
Generative Adversarial Network GAN Model Two Shift State of the Art GAN GAN Algorithm

December 13, 2021

GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs
Harshvardhan GM, Aanchal Sahu, Mahendra Kumar Gourisaria
Generative Model Generative Adversarial Network GAN Model Discriminative Task GAN Algorithm Sample Quality Analytic Score Generative Diversity

GAN Algorithm

Papers

Improving Insurance Catastrophic Data with Resampling and GAN Methods

Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects

Conditioning GAN Without Training Dataset

A Differential Equation Approach for Wasserstein GANs and Beyond

Human Machine Co-Creation. A Complementary Cognitive Approach to Creative Character Design Process Using GANs

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training

High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets

General GAN-generated image detection by data augmentation in fingerprint domain

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions

FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution

Recent trends and analysis of Generative Adversarial Networks in Cervical Cancer Imaging

Learning From Positive and Unlabeled Data Using Observer-GAN

On Convergence of Gradient Descent Ascent: A Tight Local Analysis

Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience

Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review

FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations

Generalized Visual Quality Assessment of GAN-Generated Face Images

Investigating Shifts in GAN Output-Distributions

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