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

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

  1. FlowPalm: Optical Flow Driven Non-Rigid Deformation for Geometrically Diverse Palmprint Generation

    Apr 11, 2026Yuchen Zou, Huikai Shao, Lihuang Fang +2Synthetic Data GenerationBiometric Identification

    Xi’an Jiaotong University · Sichuan Digital Economy Industry Development Research Institute · Southern University of Science and Technology

  2. SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data

    Apr 10, 2026Qingwen Zhang, Xiaomeng Zhu, Chenhan Jiang +1Synthetic Data PretrainingSynthetic Data Generation

    KTH Royal Institute of Technology, Stockholm, Sweden · Hong Kong University of Science and Technology, Hong Kong, China

  3. GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling

    Apr 10, 2026Hao-Xiang Xu, Chong Deng, Jiaqing Liu +5Synthetic Data Generation for LLM AgentsSynthetic Data Generation

    Tongyi Fun Team, Alibaba Group

  4. Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection

    Apr 10, 2026Jennifer Werner, Justus Arweiler, Indra Jungjohann +4Synthetic Data GenerationIndustrial Anomaly Detection

    Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany · Laboratory of Engineering Thermodynamics (LTD), RPTU Kaiserslautern, Germany

  5. BlendFusion -- Scalable Synthetic Data Generation for Diffusion Model Training

    Apr 10, 2026Thejas Venkatesh, Suguna Varshini VelurySynthetic Data Generation

    Samaya AI, Inc. · Independent Researcher

  6. FIT: A Large-Scale Dataset for Fit-Aware Virtual Try-On

    Apr 9, 2026Johanna Karras, Yuanhao Wang, Yingwei Li +1Virtual Try-OnSynthetic Data Generation

    Paul G. Allen School for Computer Science and Engineering, University of Washington, Seattle, WA, USA · Google Research, Seattle, CA, USA · Google Research, Mountain View, CA, USA

  7. Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition

    Apr 9, 2026Xuemei Jia, Jiawei Du, Hui Wei +3Synthetic Data GenerationRL for Generative Models

    National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China · Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan, China · Centre for Frontier AI Research (CFAR) & Institute of High Performance Computing (IHPC), A*STAR, Singapore +1

  8. Validated Synthetic Patient Generation for Small Longitudinal Cohorts: Coagulation Dynamics Across Pregnancy

    Apr 8, 2026Jeffrey D. Varner, Maria Cristina Bravo, Carole McBride +2Synthetic Data GenerationSynthetic Tabular Data Generation

    Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 · Department of Biochemistry, The Robert Larner, M.D. College of Medicine, University of Vermont Medical Center, Burlington, VT 05401 · Department of Obstetrics, Gynecology, and Reproductive Sciences, The Robert Larner, M.D. College of Medicine, University of Vermont Medical Center, Burlington, VT 05401

  9. Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation

    Apr 8, 2026Qian Ma, Sarah RajtmajerPrivacy-Preserving Language ModelsSynthetic Data Generation

    Information Sciences and Technology, The Pennsylvania State University

  10. OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence

    Apr 8, 2026Jianhui Liu, Haoze Sun, Wenbo Li +113D Spatial ReasoningSynthetic Data Generation

    Joy Future Academy · The University of Hong Kong · Monash University

  11. Synthetic Dataset Generation for Partially Observed Indoor Objects

    Apr 8, 2026Jelle Vermandere, Maarten Bassier, Maarten VergauwenSynthetic Data Generation3D Reconstruction

    KU Leuven, Department of Civil Engineering, Ghent, Belgium

  12. Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization

    Apr 7, 2026Yanis Labrak, David Grünert, Séverin Baroudi +11Synthetic Data GenerationSynthetic Benchmark Generation

    Idiap Research Institute, Switzerland · University of Zurich, Switzerland · Université de Toulon, Aix Marseille Univ, LIS, CNRS, France +9

  13. A Synthetic Eye Movement Dataset for Script Reading Detection: Real Trajectory Replay on a 3D Simulator

    Apr 7, 2026Kidus Zewde, Yuchen Zhou, Dennis Ng +6Synthetic Data GenerationEye Tracking

  14. Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series

    Apr 6, 2026Annita Vapsi, Penghang Liu, Saheed Obitayo +8Synthetic Data GenerationTime Series Generation

    JPMorganChase

  15. SimpleProc: Fully Procedural Synthetic Data from Simple Rules for Multi-View Stereo

    Apr 6, 2026Zeyu Ma, Alexander Raistrick, Jia DengSynthetic Data GenerationMulti-View 3D Reconstruction

    Princeton University

  16. FileGram: Grounding Agent Personalization in File-System Behavioral Traces

    Apr 6, 2026Shuai Liu, Shulin Tian, Kairui Hu +6Agent MemoryPersonal AI Agents

    S-Lab, Nanyang Technological University · Synvo AI

  17. Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach

    Apr 5, 2026Gabriel Diaz Ramos, Lorenzo Luzi, Debshila Basu Mallick +1Differentially Private Synthetic Data GenerationSynthetic Data Generation

    Rice University · OpenStax · Rice University, OpenStax

  18. NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation

    Apr 5, 2026Leonardo Bitzki, Diego Kreutz, Tiago Heinrich +4CybersecuritySynthetic Data Generation

    Federal University of Rio Grande do Sul (UFRGS) · AI Horizon Labs and PPGES – Federal University of Pampa (UNIPAMPA) · Max Planck Institute for Informatics (MPI-INF)

  19. CountsDiff: A Diffusion Model on the Natural Numbers for Generation and Imputation of Count-Based Data

    Apr 4, 2026Renzo G. Soatto, Anders Hoel, Greycen Ren +5Diffusion ModelsSynthetic Data Generation

    Massachusetts Institute of Technology (MIT), Cambridge, MA, USA · Laboratory for Information and Decision Systems (LIDS), MIT, Cambridge, MA, USA · Eric and Wendy Schmidt Center, Broad Institute, Cambridge, MA, USA +1

  20. Toward an Artificial General Teacher: Procedural Geometry Data Generation and Visual Grounding with Vision-Language Models

    Apr 3, 2026Hai Nguyen-Truong, Alper Balbay, Tunga BayrakReferring Image SegmentationVisual Reasoning

    Freya

  21. ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health Agents

    Apr 3, 2026Chao Li, Cailiang Liu, Ang Gao +7Synthetic Clinical Data GenerationAI Agent Benchmarks

    Shanda Group

  22. SEDGE: Structural Extrapolated Data Generation

    Apr 2, 2026Kun Zhang, Jiaqi Sun, Yiqing Li +3Synthetic Data GenerationGenerative Modeling

    Mohamed bin Zayed University of Artificial Intelligence · Carnegie Mellon University

  23. SEAL: An Open, Auditable, and Fair Data Generation Framework for AI-Native 6G Networks

    Apr 2, 2026Sunder Ali Khowaja, Kapal Dev, Engin Zeydan +1Synthetic Data Generation6G Networks

    CONNECT Centre,School of Computing, Dublin City University, Ireland · CONNECT Centre, Munster Technological University, Ireland · Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, Spain +1

  24. Cognitive Energy Modeling for Neuroadaptive Human-Machine Systems using EEG and WGAN-GP

    Apr 2, 2026Sriram Sattiraju, Vaibhav Gollapalli, Aryan Shah +1EEG Signal GenerationCognitive Modeling

    Department of Computer Science, University of Texas at Austin, Austin, TX 78712, USA · Department of Learning Technologies, University of North Texas, Denton, TX 76203, USA

  25. CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning

    Apr 2, 2026Junyoung Sung, Seungwoo Lyu, Minjun Kim +3Multimodal ReasoningVLM Reasoning

    Dept. of CSE, Korea University · Google DeepMind

  26. Human Pose Estimation in Trampoline Gymnastics: How to Improve Performance on Extreme Poses

    Apr 1, 2026Léa Drolet-Roy, Victor Nogues, Bérenger Chedal-Anglay +4Human Pose Estimation3D Human Pose Estimation

    Polytechnique Montreal, Canada · Institut National du Sport du Québec, Canada · University of Sherbrooke, Canada +1

  27. Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation

    Apr 1, 2026Zhiting Fan, Ruizhe Chen, Tianxiang Hu +7Synthetic Data GenerationSynthetic Data Evaluation

    Zhejiang University · Inclusion AI, Ant Group · Zhejiang Key Laboratory of Medical Imaging Artificial Intelligence

  28. Reasoning-Driven Synthetic Data Generation and Evaluation

    Mar 31, 2026Tim R. Davidson, Benoit Seguin, Enrico Bacis +2Synthetic Data GenerationSynthetic Data Evaluation

    EPFL · Google · Google Deepmind

  29. 6GAgentGym: Tool Use, Data Synthesis, and Agentic Learning for Network Management

    Mar 31, 2026Jiao Chen, Jianhua Tang, Xiaotong Yang +1AI Agent Benchmarks6G Networks

    Shenzhen Smart City Technology Development Group Company, Ltd. · Shien-Ming Wu School of Intelligent Engineering, South China University of Technology · China Unicom Group Co., Ltd.

  30. Beyond Individual Mimicry: Constructing Human-Like Social network with Graph-Augmented LLM Agents

    Mar 31, 2026Haoran Bu, Litian Zhang, Chuxuan Zhang +3Social Bot DetectionLarge Language Model-Based Social Simulation

    Cyberspace Security, Beijing University of Posts and Telecommunications · Institute of Software, Chinese Academy of Sciences