Synthetic Data Augmentation

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24 papers in the last four weeks, up 85% on the four weeks before. 0.2% of all new papers.

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A Real-Calibrated Synthetic-First Data Engine
May 10, 2026Yukang Shen, Zhiguo Liu, Yingshu Li +1Synthetic Data Augmentation Synthetic Data Generation
Kennesaw State University, Marietta, GA, USA. · Department of Computer Science, Georgia State University, Atlanta, GA, USA.
Discriminative Span as a Predictor of Synthetic Data Utility via Classifier Reconstruction
May 10, 2026Radhika Amar Desai, Modigari NarendraSynthetic Data Augmentation Binary Classification
School Of Computer Science Vellore Institute of Technology Chennai
LLM-Driven Performance-Space Augmentation for Meta-Learning-Based Algorithm Selection
May 10, 2026Darren Zhu, Daren LerSynthetic Data Augmentation Algorithm Selection
Department of Statistics and Data Science National University of Singapore · Department of Computer Science National University of Singapore
AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation
May 10, 2026Shogo NoguchiSynthetic Data Augmentation Conditional Image Generation
Gunma University
Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport
May 9, 2026Jialin Li, Zhuo Zhang, Yue Cao +4Synthetic Data Augmentation Medical Imaging
School of Electrical and Information Engineering, Tianjin University, Tianjin, China.
TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model
May 8, 2026Vicent Caselles-Ballester, Eloy Martínez-Heras, Giuseppe Pontillo +9Synthetic Data Augmentation Longitudinal Medical Image Analysis
NeuroADaS Lab, eHealth Center, Universitat Oberta de Catalunya, Barcelona, Spain. · Neuroimmunology and Multiple Sclerosis Unit, Laboratory of Advanced Imaging in Neuroimmunological Diseases (ImaginEM), Hospital Clinic Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona. Barcelona, Spain. · Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Science, University College of London, London, United Kingdom. +5
Target-Aware Data Augmentation for SAT Prediction
May 7, 2026Eshed Gal, Uri Ascher, Eldad HaberSynthetic Data Augmentation Graph Neural Networks
Department of Computer Science The University of British Columbia Vancouver, Canada · Department of Earth, Ocean and Atmospheric Sciences The University of British Columbia Vancouver, Canada
Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance
May 7, 2026Ziyun Zeng, Yiqi Lin, Guoqiang Liang +1Synthetic Data Augmentation Video Editing
Show Lab, National University of Singapore
Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters
May 7, 2026Hugo Cazaux, Eyjólfur Ingi Ásgeirsson, Hlynur StefánssonSynthetic Data Augmentation Synthetic Data Generation
Department of Engineering Reykjavík University Iceland, Menntavegur 1, 102
Leveraging Image Generators to Address Training Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping
May 7, 2026Gabriel Jeanson, David-Alexandre Duclos, William Larrivée-Hardy +5Synthetic Data Augmentation Remote Sensing Image Segmentation
1Northern Robotics Laboratory, Université Laval, Québec, QC, G1V 0A6, Canada · 2Département d’informatique et de génie logiciel, Université Laval, Québec, QC, G1V 0A6, Canada
Chaotic Contrastive Learning for Robust Texture Classification
May 6, 2026Joao B FlorindoContrastive Learning Synthetic Data Augmentation
Institute of Mathematics, Statistics and Scientific Computing of the University of Campinas, Rua Sergio Buarque de Holanda, 651, Campinas, 13083-859, Sao Paulo, Brazil
Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning
May 6, 2026Xinyan Han, Yan Lu, Xiaoyu Lin +5Synthetic Data Augmentation Privacy-Preserving ML
1Tsinghua University · 2Southeast University · 3Siemens China
Identity-Consistent Multi-Pose Generation of Contactless Fingerprints
May 5, 2026Zhiyu Pan, Xiongjun Guan, Jianjiang Feng +1Synthetic Data Augmentation Biometric Identification
Department of Automation, Tsinghua University, Beijing 100084, China
Synthetic Data Generation for Long-Tail Medical Image Classification: A Case Study in Skin Lesions
May 4, 2026Jiaxiang Jiang, Mahesh Subedar, Omesh TickooSkin Lesion Classification Synthetic Data Augmentation
Intel · Google
Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation
May 4, 2026Chenyu Hui, Xiaodi Huang, Siyu Xu +5Synthetic Data Augmentation Video Diffusion Models
Shanghai Jiao Tong University · Xi’an Jiaotong University · Institute of Automation, Chinese Academy of Sciences +3
CECOR: Correction-oriented synthetic data construction for factual error correction
May 4, 2026Lei Zhu, Xiaobao Wang, Jianbiao Yang +4Synthetic Data Augmentation Multi-Hop Reasoning
Tianjin University, 135 Yaguan Road, Jinnan District, Tianjin, 300354, China · Shenzhen University, 3688 Nanhai Avenue, Nanshan District, Shenzhen, 518060, China
An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection
May 4, 2026Mengyang Chen, Lingwei Wei, Wei Zhou +1Synthetic Data Augmentation Fake News Detection
Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences
Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation
May 4, 2026Peggy Joy Lu, Wei-Yu Chen, Yao-Tsung Huang +1Synthetic Data Augmentation Unsupervised Domain Adaptation
aDepartment of Computer Science and Information Engineering, National Chung Cheng2026 University, Chiayi, Taiwan · bDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan · cNational Center for High-Performance Computing, Taichung, Taiwan
Cross-Domain Adversarial Augmentation: Stabilizing GANs for Medical and Handwriting Data Scarcity
May 3, 2026Md. Sohanuzzaman Soad, Mahady Al Hady, S M Rafiuddin Rifat +1Synthetic Data Augmentation Medical Image Synthesis
Department of Computer Science and Engineering University of Asia Pacific Dhaka, Bangladesh
DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agents
May 3, 2026Qisong Zhang, Wenzhuo Wu, Zhuangzhuang Jia +7Synthetic Data Augmentation Synthetic Data Generation
School of Artificial Intelligence, Beijing University of Posts and Telecommunications · Institute of Artificial Intelligence · Institute of Artificial Intelligence (TeleAI), China Telecom
Decision Boundary-aware Generation for Long-tailed Learning
May 2, 2026Jiacheng Yang, Ruichi Zhang, Chikai Shang +5Synthetic Data Augmentation Long-Tailed Classification
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China · College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China · Department of Statistical Science, University College London, London, UK +1
Addressing Data Scarcity in Bangla Fake News Detection: An LLM-Based Dataset Augmentation Approach
May 2, 2026Ahmed Alfey Sani, Kazi Akib Zaoad, Shefayat E Shams Adib +2Class-Imbalanced Learning Synthetic Data Augmentation
Islamic University of Technology Gazipur, Bangladesh
ScribbleEdit: Synthetic Data for Image Editing with Scribbles and Text
May 1, 2026Anya Ji, George Ma, Téa Wright +4Synthetic Data Augmentation Text-Guided Image Editing
University of California, Berkeley
Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation
May 1, 2026Anton Ratnarajah, Mehmet Ergezer, Arun Nair +1Synthetic Data Augmentation Speech Processing
Amazon1 · Wentworth Institute of Technology2
HiMix: Hierarchical Artifact-aware Mixup for Generalized Synthetic Image Detection
Apr 30, 2026Shuchang Zhou, Kaiwen Shen, Jiwei Wei +3Synthetic Data Augmentation Image Forgery Detection
University of Electronic Science and Technology of China · Hainan University
Few-Shot Synthetic Accented Speech for ASR Fine-Tuning: What Helps and When?
Apr 30, 2026Yurii Halychanskyi, Nimet Beyza Bozdag, Mark Hasegawa-Johnson +2Synthetic-to-Real Domain Adaptation Synthetic Data Augmentation
University of Illinois Urbana-Champaign, USA · National Center for Supercomputing Applications, USA
Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipation
Apr 29, 2026Yanchen Guan, Haicheng Liao, Chengyue Wang +4Autonomous Driving Datasets Synthetic Data Augmentation
State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau SAR, 999078, China. · Department of Civil Engineering, University of Macau, Macau SAR, 999078, China. · Department of Computer and Information Science, University of Macau, Macau SAR, 999078, China. +1
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 Augmentation Industrial Anomaly Detection
Fraunhofer IGD, 64283 Darmstadt, Germany
Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation
Apr 29, 2026Guillermo Iglesias, Gema Bello-Orgaz, María Navas-Loro +3Synthetic Data Augmentation Synthetic Data Generation
Departamento de Sistemas Informáticos, Escuela Técnica Superior de Ingeniería de Sistemas Informáticos, Universidad Politécnica de Madrid, Spain · Department of Psychiatry, University Hospital Rey Juan Carlos, Mostoles, Spain · Department of Psychiatry, University Hospital Jimenez Diaz Foundation, Madrid, Spain +5
Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation
Apr 29, 2026Martina Pavan, Matteo Caligiuri, Francesco Barbato +1Class-Imbalanced Learning Synthetic Data Augmentation
University of Padova, Padova (PD), Italy · NIDEK Technologies Srl, Albignasego (PD), Italy

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A Real-Calibrated Synthetic-First Data Engine

Yukang Shen, Zhiguo Liu, Yingshu Li, Yan Huang

Kennesaw State University, Marietta, GA, USA. · Department of Computer Science, Georgia State University, Atlanta, GA, USA.

Synthetic Data Augmentation Synthetic Data Generation

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Modern computer vision systems increasingly encounter performance limitations in data-scarce domains, where collecting large-scale, high-quality labeled data is costly or impractical. While controllable diffusion models enable scalable synthetic image generation, directly applying synthetic augmentation often leads to unstable performance gains due to dataset-level quality issues and insufficient feedback mechanisms. In this work, we present a Real-Calibrated Synthetic-First Data Engine, a modular data engineering framework that combines controllable diffusion generation and multi-stage curation/filtering within a unified pipeline, with optional support for uncertainty-driven selection and human verification. Instead of introducing new generative algorithms, our approach focuses on systematic dataset construction for improving the practical reliability of synthetic augmentation in low-data regimes. The framework is implemented as a modular CLI-based pipeline, where generation, filtering, selection, and validation components can be independently configured and replaced. This design emphasizes reproducibility, flexibility, and practical deployment in real-world data workflows. Through empirical evaluation centered on human pose estimation, we show that synthetic data improves a real-data baseline when used as near-zero-human-annotation-cost augmentation alongside real anchors, while synthetic-only training remains substantially below real-only performance. Supplementary segmentation diagnostics show the same domain-gap pattern. These results highlight the practical value of data-centric orchestration for low-data augmentation.

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