Generative Adversarial Networks

Also known as GAN

Ask about this topic

Overview

Generative Adversarial Networks learn to produce data by training a generator against a discriminator that distinguishes generated samples from real ones. Common approaches include conditional GANs for controlled generation, Wasserstein GANs for more stable training, cycle-consistent models for unpaired translation, and StyleGAN-family models for high-quality images. GANs are used for image and audio synthesis, data augmentation, time-series modeling, and scientific applications, often with added constraints from labels, physics, or domain knowledge. A central tension is balancing realism, diversity, and training stability; strong visual or distributional metrics do not always predict whether synthetic data helps downstream tasks, and diffusion models are an important alternative.

Latest papers

CardsList

178 papers20 papers in the last four weeks, up 18% on the four weeks before. 0.1% of all new papers.

  1. Context-free Self-Conditioned GAN for Trajectory Forecasting

    Mar 9, 2026Tiago Rodrigues de Almeida, Eduardo Gutierrez Maestro, Oscar Martinez MozosTrajectory PredictionMultimodal Trajectory Prediction

    AASS, Örebro University, Sweden

  2. Integration of deep generative Anomaly Detection algorithm in high-speed industrial line

    Mar 8, 2026Niccolò Ferrari, Nicola Zanarini, Michele Fraccaroli +2Industrial Anomaly DetectionOnline Anomaly Detection

    Department of Engineering, University of Ferrara, Via Saragat 1, Ferrara, 44122, Italy. · Bonfiglioli Engineering, Via Amerigo Vespucci 20, Ferrara, 44124, Italy.

  3. GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module

    Mar 8, 2026Niccolò Ferrari, Michele Fraccaroli, Evelina LammaIndustrial Anomaly DetectionAnomaly Localization

    Department of Engineering, University of Ferrara, Via Saragat 1, 44122 Ferrara, Italy · Bonfiglioli Engineering, Via Amerigo Vespucci 20, 44124 Ferrara, Italy

  4. Image Generation Models: A Technical History

    Mar 8, 2026Rouzbeh ShirvaniImage GenerationDiffusion-Based Image Generation

  5. FairFinGAN: Fairness-aware Synthetic Financial Data Generation

    Mar 5, 2026Tai Le Quy, Dung Nguyen Tuan, Trung Nguyen Thanh +3Synthetic Data GenerationSynthetic Tabular Data Generation

    University of Koblenz, Germany · Hanoi University of Science and Technology, Vietnam · Banking Academy of Vietnam, Vietnam +1

  6. Improving Generative Adversarial Network Generalization for Facial Expression Synthesis

    Mar 4, 2026Arbish Akram, Nazar Khan, Arif MahmoodFacial Expression SynthesisGenerative Adversarial Networks

    Department of Computer Science, University of the Punjab, Lahore, Pakistan · Department of Computer Science, Information Technology University, Lahore, Pakistan

  7. ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks

    Mar 2, 2026Joël Küchler, Ellen van Maren, Vaiva Vasiliauskaitė +3Unsupervised Visual Concept DiscoveryObject-Centric Representation Learning

    Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 37/39, Zurich, 8092, Switzerland · Department of Neurology, Insel Gruppe, Bern, Switzerland · Department of Neurology, Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, USA +2

  8. HURRI-GAN: A Novel Approach for Hurricane Bias-Correction Beyond Gauge Stations using Generative Adversarial Networks

    Feb 27, 2026Noujoud Nadera, Hadi Majed, Stefanos Giaremis +4Spatiotemporal ForecastingFlood Forecasting

    Center of Computation and Technology, Louisiana State University, Baton Rouge, 70803 LA, US · Saint-Joseph University of Beirut, Beirut, 1104, Lebanon · Department of Physics, Aristotle University of Thessaloniki, Thessaloniki , 54124, Greece +3

  9. Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation

    Feb 27, 2026Jonas Jäger, Florian J. Kiwit, Carlos A. RiofríoQuantum Generative ModelingImage Generation

    BMW Group, Munich, Germany · Department of Computer Science and Institute of Applied Mathematics, University of British Columbia (UBC), Vancouver, Canada · Stewart Blusson Quantum Matter Institute (QMI), Vancouver, Canada +1

  10. Optimisation of SOUP-GAN and CSR-GAN for High Resolution MR Images Reconstruction

    Feb 27, 2026Muneeba Rashid, Hina Shakir, Humaira Mehwish +2Generative Adversarial NetworksMagnetic Resonance Imaging

    Department of Software Engineering, Bahria University, Karachi, Pakistan · Department of Computer Science, Bahria University, Karachi, Pakistan

  11. mmWave Radar Aware Dual-Conditioned GAN for Speech Reconstruction of Signals With Low SNR

    Feb 25, 2026Jash Karani, Adithya Chittem, Deepan Roy +1Generative Adversarial NetworksSpeech Enhancement

    Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan 333031, India · Department of Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani, Rajasthan 333031, India

  12. Bayesian Generative Adversarial Networks via Gaussian Approximation for Tabular Data Synthesis

    Feb 25, 2026Bahrul Ilmi Nasution, Mark Elliot, Richard AllmendingerSynthetic Tabular Data GenerationTabular Data Synthesis

    Department of Social Statistics, The University of Manchester, Oxford Rd, Manchester, M13 9PL, UK. · Alliance Manchester Business School, The University of Manchester, Booth Street West, Manchester, M15 6PB, UK.

  13. Deep unfolding of MCMC kernels: scalable, modular & explainable GANs for high-dimensional posterior sampling

    Feb 24, 2026Jonathan Spence, Tobías I. Liaudat, Konstantinos Zygalakis +1Posterior SamplingGenerative Adversarial Networks

    Maxwell Institute for Mathematical Sciences, Bayes Centre, 47 Potterrow, Edinburgh, Scotland, UK · School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, Scotland, UK · IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France +1

  14. DTT-BSR: GAN-based DTTNet with RoPE Transformer Enhancement for Music Source Restoration

    Feb 23, 2026Shihong Tan, Haoyu Wang, Youran Ni +8Audio Source SeparationGenerative Adversarial Networks

    School of Electronic Information, Wuhan University, China · Southwestern University of Finance and Economics, China · MiLM Plus, Xiaomi Inc., China +1

  15. Financial time series augmentation using transformer based GAN architecture

    Feb 19, 2026Andrzej Podobiński, Jarosław A. ChudziakTime Series Data AugmentationFinancial Time Series

    Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland

  16. Physics Encoded Spatial and Temporal Generative Adversarial Network for Tropical Cyclone Image Super-resolution

    Feb 19, 2026Ruoyi Zhang, Jiawei Yuan, Lujia Ye +2Remote Sensing Image Super-ResolutionGenerative Adversarial Networks

    Nanjing University of Information Science and Technology. · University of Reading. · Shanghai Typhoon Institute, China Meteorological Administration.

  17. Latent Regularization in Generative Test Input Generation

    Feb 17, 2026Giorgi Merabishvili, Oliver Weißl, Andrea StoccoAutomated Test GenerationLatent Space Optimization

    North Carolina State University USA · Technical University of Munich & fortiss GmbH Germany

  18. A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems

    Feb 17, 2026Nasim Abdirahman Ismail, Enis KaraarslanFinancial Fraud DetectionGenerative Adversarial Networks

    Mugla Sitki Kocman University · Department of Computer Engineering, Mugla Sitki Kocman University

  19. Enhancing Diversity and Feasibility: Joint Population Synthesis from Multi-source Data Using Generative Models

    Feb 17, 2026Farbod Abbasi, Zachary Patterson, Bilal FarooqSynthetic Population GenerationData Fusion

    Concordia University, Montreal, QC, Canada · Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada · Toronto Metropolitan University, Toronto, ON, Canada

  20. Revisiting GAN with Bayes-Optimal Discrimination

    Oct 29, 2025Mohammadreza Tavasoli Naeini, Ali Bereyhi, Morteza Noshad +2TV Distance ComputationGenerative Adversarial Networks

    University of Toronto · Stanford University · University of Michigan

  21. PCP-GAN: Property-Constrained Pore-scale image reconstruction via conditional Generative Adversarial Networks

    Oct 22, 2025Ali Sadeghkhani, Brandon Bennett, Masoud Babaei +1Conditional Image GenerationImage Generation

    School of Computer Science, University of Leeds, Leeds, LS2 9JT, UK. · Department of Chemical Engineering, The University of Manchester,2026 Manchester, M13 9PL, UK.

  22. Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation

    Sep 24, 2025Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt +2Network Intrusion DetectionAdversarial Robustness

    Department of Computer Science and Technology, University of Science and Technology Beijing · Department of Computer Science, Blekinge Institute of Technology

  23. Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization

    Aug 3, 2025Xin Ding, Yun Chen, Yongwei Wang +4Conditional Generative ModelingConditional Generation

    School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science & Technology, Nanjing, China · Perceptual and Generative AI Lab, Nanjing University of Information Science & Technology, Nanjing, China · College of Media, Zhejiang University, Hangzhou, China

  24. A Conditional GAN for Tabular Data Generation with Probabilistic Sampling of Latent Subspaces

    Aug 1, 2025Leonidas Akritidis, Panayiotis BozanisClass-Imbalanced LearningSynthetic Tabular Data Generation

    Department of Information and Electronic Engineering, International Hellenic University, Thessaloniki, Greece · School of Science and Technology, International Hellenic University, Thessaloniki, Greece

  25. Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modeling

    Jul 12, 2025Xinyue Liu, Xiao Peng, Shuyue Yan +5Generative Adversarial Networks

    Department of Civil and Environmental Engineering, National University of Singapore, Singapore. · School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China. · Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, Zhejiang, China. +1

  26. Facial Recognition Leveraging Generative Adversarial Networks

    May 17, 2025Zhongwen Li, Zongwei Li, Xiaoqi LiFace RecognitionData Augmentation

    School of Cyberspace Security, Hainan University, Haikou, China

  27. Seed-to-Seed: Unpaired Image Translation in Diffusion Seed Space

    Sep 1, 2024Or Greenberg, Eran Kishon, Dani LischinskiUnpaired Image-to-Image TranslationGenerative Adversarial Networks

    General Motors R&D · The Hebrew University of Jerusalem

  28. Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures

    Apr 9, 2024Arkaprabha Basu, Kushal Bose, Sankha Subhra Mullick +2Convolutional Neural NetworksGenerative Adversarial Networks

    Electronics and Communication Sciences Unit (ECSU), Dolby Laboratories, India · Statistics and Mathematics Unit (SMU), Indian Statistical Institute, Kolkata, India