Synthetic Anomaly Generation

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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Visual Anomaly Synthesis for Model Selection in Data Scarcity

    Sep 29, 2026Daniel Pröll, Thomas Kraxner, Tobias Schaefer +1Industrial Anomaly DetectionSynthetic Anomaly Generation

    Digital Factory Vorarlberg GmbH, Dornbirn, Austria · University of Salzburg, Salzburg, Austria · illwerke vkw AG, Bregenz, Austria +1

  2. FLASH: A "Generate Once, Synthesize Many" Framework for Synthetic Anomaly Generation in Industrial Anomaly Detection

    Sep 29, 2026Abhay Kumar Das, Rajesh Gangireddy, Ashwin Vaidya +1Synthetic Data AugmentationIndustrial Anomaly Detection

    Silicon University, Bhubaneswar, India · Intel

  3. Physics-Guided Conditional Diffusion Model for Rare Event Synthesis and Diagnosis for the Water-Gas Shift Reaction

    Sep 28, 2026Md Abrar Rafid Siddique, Bibek Aryal, Qiugang LuPhysics-Informed Generative ModelingSynthetic Anomaly Generation

    Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA

  4. Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative

    Sep 14, 2026Amartya Mukherjee, Tristan Milne, Kry Yik-Chau Lui +2Diffusion SamplingSynthetic Anomaly Generation

    Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 · Royal Bank of Canada, 1 Place Ville Marie, Montreal, Quebec, H3C 3A9

  5. DPA: Decoupling Product-Agnostic Anomaly Representations for Zero-shot Anomaly Generation

    Sep 2, 2026Hang Yao, Yansheng Fu, Ming Liu +4Industrial Anomaly DetectionDiffusion-Based Image Generation

  6. DeCo: Zero-Shot Industrial Anomaly Generation through Decoupling and Recoupling

    Aug 8, 2026Shilei Zeng, Xurui Li, Yaohan Tang +1Industrial Anomaly DetectionSynthetic Anomaly Generation

    School of Electronic Information and Communications, Huazhong University of Science and Technology

  7. UniScale: Arbitrary-Scale Industrial Anomaly Generation

    Aug 8, 2026Shilei Zeng, Linxin Guan, Xurui Li +2Industrial Anomaly DetectionSynthetic Anomaly Generation

    School of Electronic Information and Communications, Huazhong University of Science and Technology

  8. OTLesMix: Wasserstein Barycenter and Optimal Transport Map for Synthetic Lesion Generation with Diverse Shapes and Locations

    Aug 6, 2026Robin Trombetta, Carole LartizienSynthetic Data AugmentationMedical Image Segmentation

    Univ. Lyon, CNRS UMR 5220, Inserm U1294, INSA Lyon, UCBL, CREATIS, France

  9. SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation

    Aug 4, 2026Lin Jiang, Dahai Yu, Ravikumar Gelli +1Synthetic Data GenerationTime Series Generation

    Department of Computer Science Florida State University Tallahassee, Florida, USA · Department of Electrical and Computer Engineering Florida State University Tallahassee, Florida, USA

  10. OSAGEN: Object-Aware Mask Priors and Multistage Decoupled Diffusion for Industrial Anomaly Generation

    Jul 31, 2026Jinyi Xu, Peng Chen, Yunkang Cao +3Industrial Anomaly DetectionAnomaly Localization

    School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University · School of Artificial Intelligence and Robotics, Hunan University · Department of Computer and Information Science, University of Macau +1

  11. Synthetic data generation framework for quality control automation in gravure printing

    Jul 23, 2026Korota Arsène Coulibaly, Mohamed Hamlich, Khalid Hmali +1Synthetic Data GenerationSynthetic Anomaly Generation

    LCCPS Lab, ENSAM, Hassan II University of Casablanca, 150 Bd du Nil, Casablanca, 20670, , Morocco · Plastima, Commune Chellalat, Route Secondaire 3002, Mohammedia, Casablanca, , , Morroco

  12. SAGA: Synthetic Agentic Graph Architecture for Temporal Benchmark Generation

    Jul 19, 2026Jiacheng Ding, Xiaofei ZhangSynthetic Data GenerationSynthetic Benchmark Generation

    University of Memphis · Memphis, Tennessee, USA · Tennessee

  13. Physics-inspired Pseudo Anomaly Generation and Prototype Feature Guidance for 3D Anomaly Detection

    Jul 12, 2026Jian Ning, Qin Zou, Linchun Wu +4Point Cloud Anomaly DetectionIndustrial Anomaly Detection

    School of Computer Science, Wuhan University, Wuhan 430072, Hubei, China · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518060, Guangdong, China · School of Information and Software Engineering, East China Jiaotong University, Nanchang 330013, Jiangxi, China +1

  14. Multi-Conditioned Diffusion Synthesis of Sand Boils for Low-Resource Earthen-Levee Inspection

    Jul 8, 2026Padam Jung Thapa, Abdullah Bin Naeem, Ayon Dey +2Synthetic Data AugmentationConditional Image Generation

    University of Louisiana at Lafayette, Lafayette, LA, USA · Department of Computer Science, Louisiana State University New Orleans, New Orleans, LA, USA

  15. Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

    Jul 1, 2026Jiefei Liu, Abu Saleh Md Tayeen, Pratyay Kumar +5Network Intrusion DetectionSynthetic Anomaly Generation

    Department of Computer Science, New Mexico State University, Las Cruces, NM, USA · University of Hartford, CT, USA · DEVCOM Analysis Center, WSMR, NM, USA

  16. SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving

    Jun 30, 2026Nghia T. Nguyen, Lokman Bekit, Yasin YilmazAutonomous Driving BenchmarksVideo Anomaly Detection

    University of South Florida

  17. Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies

    Jun 29, 2026Youngseok Hwang, Sungho Bae, Dohun Lee +4Synthetic Anomaly GenerationTime-Series Anomaly Detection

    Seoul National University Seoul, Republic of Korea · KRISO Daejeon, Republic of Korea

  18. Anomaly Factory 3D: A Modular Framework for Diverse Pseudo-Anomaly Synthesis in Unsupervised 3D Anomaly Detection

    Jun 28, 2026Ali Balapour, Faraz HachPoint Cloud Anomaly DetectionAnomaly Localization

    University of British Columbia, Vancouver, V6T 1Z4 BC, Canada · Vancouver Prostate Centre, M.H. Mohseni Institute of Urologic Sciences, Vancouver, V6H 3ZB BC, Canada · Department of Urologic Sciences, The University of British Columbia, Vancouver, V5Z 1M9 BC, Canada

  19. Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection

    Jun 24, 2026Linchun Wu, Qin Zou, Jiwen Lu +1Point Cloud Anomaly DetectionIndustrial Anomaly Detection

    School of Computer Science, Wuhan University, Wuhan 430072, China · Department of Automation, Tsinghua University, Beijing 100084, China · Guangdong Artificial Intelligence and Digital Economy Laboratory (SZ), Shenzhen 518060, China

  20. Mobility Anomaly Generation using LLM-Driven Behavior with Kinematic Constraints

    Jun 9, 2026Yueyang Liu, Joon-Seok Kim, Andreas ZüfleSynthetic Data GenerationSynthetic Anomaly Generation

    Emory University, Atlanta, USA

  21. TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection

    Jun 2, 2026Xiancheng Wang, Zhibo Zhang, Ran Li +4Fault DetectionUnsupervised Anomaly Detection

    School of Ocean Engineering, Harbin Institute of Technology, West Wenhua Road, Weihai, 264209, Shandong, China · Technical Center, Bogie Development Department, CRRC Qingdao Sifang Locomotive and Rolling Stock Co., Ltd, Jinhong East Road, Qingdao, 266111, Shandong, China · Qingdao University, No. 308 Ningxia Road, Qingdao, 266071, Shandong, China

  22. UniPCB: A Generation-Assisted Detection Framework for PCB Defect Inspection

    May 6, 2026Huan Zhang, Lianghong Tan, Yichu Xu +5Conditional Image GenerationIndustrial Inspection

    School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China · School of Computer Science, Wuhan University, Wuhan 430072, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

  23. SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection

    Apr 29, 2026Paul Julius Kühn, Mika Pommeranz, Arjan Kuijper +1Synthetic Data AugmentationIndustrial Anomaly Detection

    Fraunhofer IGD, 64283 Darmstadt, Germany

  24. Accelerating New Product Introduction for Visual Quality Inspection via Few-Shot Diffusion-Based Defect Synthesis

    Apr 22, 2026Serkan Hamdi Güğül, Kemal Levi, Burak AcarSynthetic-to-Real Domain AdaptationSynthetic Data Augmentation

    Relimetrics, Inc.

  25. Industrial Surface Defect Detection via Diffusion Generation and Asymmetric Student-Teacher Network

    Apr 21, 2026Shuo Feng, Runlin Zhou, Yuyang Li +1Industrial Anomaly DetectionSynthetic Anomaly Generation

    School of Automation, Southeast University, Nanjing, China

  26. Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation

    Apr 20, 2026Wei Huang, Yuxuan Xiong, Hezhe Qiao +3Tabular Anomaly DetectionPseudo-Labeling

  27. TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering

    Apr 19, 2026Keyang Chen, Mingxuan Jiang, Yongsheng Zhao +9Financial Fraud DetectionSynthetic Benchmark Generation

    Fudan University · Peking University

  28. How to Correctly Make Mistakes: A Framework for Constructing and Benchmarking Mistake Aware Egocentric Procedural Videos

    Apr 16, 2026Olga Loginova, Frank KellerBenchmark ConstructionEgocentric Video Understanding

    University of Trento · Italy · University of Edinburgh +1

  29. Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling

    Apr 14, 2026Pierre Lotte, André Péninou, Olivier TesteTime Series GenerationAnomaly Localization

    EPE UT, IRIT · Université de Toulouse, IRIT, CNRS · UT2J, IRIT-SIG, IRIT +2

  30. Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method

    Jan 14, 2026Jackie Alex, Justin PetterSynthetic Data AugmentationImage Generation

    St. Petersburg College