Synthetic Data Generation

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Overview

Synthetic data generation studies how to create artificial examples that reproduce useful features of real data or provide exact, controllable labels. Common approaches include procedural simulators and domain randomization, generative models such as GANs, variational autoencoders and diffusion models, and large language models or agents that synthesize text, dialogues, and tool-use trajectories. These methods are used to address scarce or sensitive data, cover rare cases, and build controlled training and evaluation sets, with quality often measured by fidelity, privacy, downstream performance, and transfer to real benchmarks. A central open tension is that realism or strong benchmark scores do not guarantee representative, unbiased, causally valid data or reliable performance in real settings.

Latest papers

CardsList

629 papers69 papers in the last four weeks, up 1% on the four weeks before. 0.4% of all new papers.

  1. TrajectoryMover: Generative Movement of Object Trajectories in Videos

    Mar 31, 2026Kiran Chhatre, Hyeonho Jeong, Yulia Gryaditskaya +3Synthetic Data GenerationVideo Editing

    KTH Royal Institute of Technology · Adobe Research

  2. PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models

    Mar 30, 2026Lorenza Prospero, Orest Kupyn, Ostap Viniavskyi +2Synthetic Data GenerationHuman Mesh Recovery

    The Podium Institute for Sports Medicine and Technology University of Oxford Oxford, UK · Visual Geometry Group University of Oxford Oxford, UK · Ukrainian Catholic University Lviv, Ukraine

  3. Training data generation for context-dependent rubric-based short answer grading

    Mar 30, 2026Pavel Šindelář, Dávid Slivka, Christopher Bouma +2Synthetic Data GenerationAutomated Grading

    Faculty of Mathematics and Physics at Charles University

  4. SVH-BD : Synthetic Vegetation Hyperspectral Benchmark Dataset for Emulation of Remote Sensing Images

    Mar 30, 2026Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel +1Remote Sensing BenchmarksRemote Sensing

  5. Synonymix: Unified Group Personas for Generative Simulations

    Mar 30, 2026Huanxing Chen, Aditesh KumarHuman Behavior SimulationLarge Language Model-Based Social Simulation

    Stanford University, Stanford, CA, USA

  6. Synthetic Designed Experiments for Diagnosing Vision Model Failure

    Mar 30, 2026Krisanu SarkarSynthetic Data EvaluationAlgorithmic Auditing

    Indian Institute of Technology Bombay, Mumbai, India

  7. Scalable Maximum Entropy Population Synthesis via Persistent Contrastive Divergence

    Mar 28, 2026Mirko Degli EspostiSynthetic Population GenerationSynthetic Data Generation

    Department of Physics and Astronomy, City Science Lab University of Bologna, Bologna, Italy

  8. AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detection

    Mar 27, 2026Hai-Son Nguyen-Le, Hung-Cuong Nguyen-Thanh, Nhien-An Le-Khac +2Audio Deepfake DetectionAudio Deepfake Detection Robustness

    University of Science, Ho Chi Minh City, Vietnam · University College Dublin, School of Computer Science, Dublin, Ireland

  9. AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation

    Mar 26, 2026Chen Si, Yulin Liu, Bo Ai +4Hand-Object Interaction3D Hand Pose Estimation

    University of California, San Diego · Lambda, Inc · Imperial College London +1

  10. Lightweight GenAI for Network Traffic Generation: Fidelity, Augmentation, and Classification

    Mar 26, 2026Giampaolo Bovenzi, Domenico Ciuonzo, Jonatan Krolikowski +4Synthetic Data GenerationSynthetic Data Augmentation

    DIETI, University of Naples Federico II, Italy. · Huawei Technologies France SASU.

  11. Synthetic Cardiac MRI Image Generation using Deep Generative Models

    Mar 25, 2026Ishan Kumarasinghe, Dasuni Kawya, Madhura Edirisooriya +3Synthetic Data GenerationMedical Image Synthesis

    Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka · Department of Computer Engineering, University of Maryland, College Park, USA · Department of Holistic Systems, SimulaMet, Oslo, Norway

  12. Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training

    Mar 25, 2026Gengluo Li, Pengyuan Lyu, Chengquan Zhang +7Document ParsingMultimodal Large Language Models

    Institute of Information Engineering, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Tencent +2

  13. CDMT-EHR: A Continuous-Time Diffusion Framework for Generating Mixed-Type Time-Series Electronic Health Records

    Mar 24, 2026Shaonan Liu, Yuichiro Iwashita, Soichiro Nakako +2Synthetic Data GenerationDiffusion Models

    Department of Core Informatics, Graduate School of Informatics, Osaka Metropolitan University, Sakai, Osaka 599-8531, Japan · Smart Data & Knowledge Services Department, German Research Center for Artificial Intelligence (DFKI GmbH), 67663 Kaiserslautern, Germany · Department of Computer Science, RPTU University Kaiserslautern-Landau, 67663 Kaiserslautern, Germany +1

  14. CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training

    Mar 23, 2026Yuxi Chen, Haoyu Zhai, Chenkai Wang +4CAPTCHA SolvingSynthetic Data Generation

    University of Illinois Urbana-Champaign.

  15. Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation

    Mar 23, 2026François Pachet, Jean-Daniel ZuckerSynthetic Population GenerationSynthetic Data Generation

    ImagineAllThePeople, Paris, France · IRD, UMMISCO, Sorbonne Universit´e, France

  16. GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning

    Mar 23, 2026Yixuan Luo, Feng Qiao, Zhexiao Xiong +2Optical FlowSynthetic Data Generation

    University of Chicago · Washington University in St. Louis

  17. Generating Synthetic Wildlife Health Data from Camera Trap Imagery: A Pipeline for Alopecia and Body Condition Training Data

    Mar 23, 2026David BrundageSynthetic Data GenerationSynthetic Data Evaluation

    University of Wisconsin - Madison, School of Veterinary Medicine

  18. SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification

    Mar 23, 2026Migyeong Kang, Jihyun Kim, Hyolim Jeon +6Synthetic Data GenerationMental Health

    Sungkyunkwan University, Seoul, Republic of Korea · Samsung Medical Center, Seoul, Republic of Korea · Omnicns, Seoul, Republic of Korea +1

  19. PARHAF, a human-authored corpus of clinical reports for fictitious patients in French

    Mar 20, 2026Xavier Tannier, Salam Abbara, Rémi Flicoteaux +4Clinical NLPSynthetic Data Generation

    Sorbonne Université, Université Sorbonne Paris Nord, Inserm, Limics, F-75006 Paris, France · Université Paris-Saclay, UVSQ, Assistance Publique-Hôpitaux de Paris, Raymond Poincaré University Hospital, Infectious Disease Department, Garches, France · Yonsei University College of Medicine, Gangnam Severance Hospital, Department of Laboratory Medicine, Seoul, South Korea +4

  20. LoD-Loc v3: Generalized Aerial Localization in Dense Cities using Instance Silhouette Alignment

    Mar 20, 2026Shuaibang Peng, Juelin Zhu, Xia Li +4Robot LocalizationMap-Based Localization

    National University of Defense Technology · Northwestern Polytechnical University

  21. MagicSeg: Open-World Segmentation Pretraining via Counterfactural Diffusion-Based Auto-Generation

    Mar 20, 2026Kaixin Cai, Pengzhen Ren, Jianhua Han +4Semantic SegmentationOpen-Vocabulary Semantic Segmentation

    Shenzhen Campus of Sun Yat-sen University, Shenzhen, China · PengCheng Laboratory · Huawei Noah’s Ark Lab

  22. Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations

    Mar 18, 2026Dang H. Dang, Jelena Mitrovi, Michael GranitzerHate Speech DetectionLow-Resource Language Processing

    University of Passau, Chair of Data Science

  23. Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation

    Mar 18, 2026Iakovos-Christos Zarkadis, Christos DouligerisNetwork Intrusion DetectionSynthetic Data Generation

    University of Piraeus, Athens, Greece · Dept. of Informatics, University of Piraeus, Piraeus, Greece

  24. From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving

    Mar 18, 2026A. Humnabadkar, A. Sikdar, B. Cave +3Autonomous DrivingAutonomous Driving Simulation

    Department of Computer Science, Edge Hill University, United Kingdom.

  25. FMMC: Harnessing the Power of Foundation Models for Accurate Material Classification

    Mar 18, 2026Qingran Lin, Fengwei Yang, Chaolun ZhuVision-Language ModelsSynthetic Data Generation

    Georgia Institute of Technology · Duke University · Waseda University

  26. OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

    Mar 16, 2026Yuwen Du, Rui Ye, Shuo Tang +4Deep Research AgentsWeb Search Agents

    Shanghai Jiao Tong University

  27. SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

    Mar 16, 2026Beny Rubinstein, Sergio MatosSynthetic Data GenerationSynthetic Data Generation for Language Models

    University of Aveiro, Portugal · IEETA, DETI, LASI, University of Aveiro, Portugal

  28. Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks

    Mar 15, 2026Srideepika Jayaraman, Achille Fokoue, Dhaval Patel +1Synthetic Data GenerationSynthetic Data Generation for Language Models

    IBM Research, Yorktown Heights, NY, USA

  29. Leveraging a Statistical Shape Model for Efficient Generation of Annotated Training Data: A Case Study on Liver Landmarks Segmentation

    Mar 14, 2026Denis Krnjaca, Lorena Krames, Werner NahmMedical Image AnalysisSynthetic Data Generation

    Karlsruhe Institute of Technology, Karlsruhe, Germany

  30. Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasets

    Mar 13, 2026Roben Delos Reyes, Timothy Douglas, Asanobu KitamotoSynthetic Data GenerationAgentic Workflows

    School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia. · National Institute of Informatics, Tokyo, Japan. · Department of Computer Science, University College London, London, United Kingdom.