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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Enhancing Facial Expression Recognition in Head-Mounted Displays with Synthetic Data
Jul 5, 2026Jianing Deng, Qiang Zhou, Jingtong HuSynthetic Data Augmentation Facial Expression Recognition
University of Pittsburgh
Task-Conditioned Synthetic Data Generation for Improving Machine Learning Performance in Agricultural Prediction Tasks
Jul 4, 2026Hamid Ebrahimy, Moritz Lucas, Martin AtzmuellerSynthetic Data Augmentation Synthetic Data Generation
Osnabrück University, Joint Lab Artificial Intelligence and Data Science, Osnabrück, Germany · Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam, Germany · German Research Center for Artificial Intelligence (DFKI), Research Department Cooperative and Autonomous Systems (CAS), Osnabrück, Germany
LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering
Jul 2, 2026Nina Hosseini-Kivanani, Marco Matassoni, Alessio BruttiSpoken Language Understanding Synthetic Data Augmentation
Radio Télévisioun Lëtzebuerg (RTL) · University of Luxembourg · Fondazione Bruno Kessler (FBK)
Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models
Jul 2, 2026Stanislav Panev, Minhyek Jeon, Vaishnavi Khindkar +5Synthetic Data Augmentation Synthetic Data Generation
Carnegie Mellon University, USA · DEVCOM Army Research Laboratory, USA · Florida State University, USA
Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting
Jul 2, 2026Disheng Liu, Tuo Liang, Chaoda Song +1Synthetic Data Augmentation Training Data Selection
Department of Computer and Data Sciences Case Western Reserve University Cleveland, OH, USA
AbsoluteDegradation: A Physics-Inspired Synthetic Film-Degradation Pipeline and Archival Film Restoration Benchmark
Jul 2, 2026Mikołaj Jastrzębski, Dawid Glinkowski, Dawid Zieliński +3Synthetic Data Augmentation Video Restoration
Wrocław University of Science and Technology
Unleashing More Actions via Action Compositional Training for VLA Models
Jul 1, 2026Kai Peng, Jie Lu, Xiaojiang PengSynthetic Data Augmentation Synthetic Data Generation for Robotics
School of Artificial Intelligence Shenzhen Technology University Shenzhen, China
Automated Background Swapping for Robustness against Spurious Backgrounds
Jun 30, 2026Cesar Roder, Kajetan SchweighoferSynthetic Data Augmentation Data Augmentation
Johannes Kepler University Linz, Austria · Cognizant AI Lab, USA ∗ · ∗Work partly done while at Johannes Kepler University Linz, Austria
DriveWeaver: Point-Conditioned Video Inpainting for Controllable Vehicle Insertion in Autonomous Driving Simulation
Jun 30, 2026Junzhe Jiang, Zipei Ma, Zijie Pan +1Synthetic Data Augmentation Autonomous Driving
School of Data Science, Fudan University · Shanghai Innovation Institute
Preserve the Hard, Regenerate the Rest: Uncertainty-Guided Synthetic Training Data Augmentation with Diffusion Models
Jun 30, 2026Nikolai Röhrich, Julian Gleißner, Ahmed H. A. Ibrahim +2Synthetic Data Augmentation Semantic Segmentation
1XITASO GmbH · 2Zuse School of Excellence in Reliable AI · 3Technische Hochschule Ingolstadt +1
AugSplat: Radiance Field-Informed Gaussian Splatting for Sparse-View Settings
Jun 30, 2026Lorenzo Lazzaroni, Riccardo Bollati, Daniel Barath +23D Gaussian Splatting Synthetic Data Augmentation
ETH Zurich · 1Google · 2ETH Zurich
Improving multichannel speech enhancement through accurate room-acoustic simulations
Jun 30, 2026Georg Götz, Alessia Milo, Steinar Guðjónsson +3Synthetic Data Augmentation Speech Enhancement
Treble Technologies, Reykjavík, Iceland
WaterGen: Decoupling Scene and Medium in Underwater Image Generation
Jun 30, 2026Jiayi Wu, Tianfu Wang, Tianyi Xiong +6Synthetic Data Augmentation Image Generation
University of Maryland · University of South Florida · University of Florida
AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images
Jun 30, 2026Meng Yang, Zizhuo Li, Linfeng Tang +2Synthetic Data Augmentation Cross-Modal Feature Matching
Electronic Information School1, Wuhan University, Wuhan 430072, China · School of Robotics, Wuhan University2, Wuhan 430072, China
How to Leverage Synthetic Speech for LLM-Based ASR Systems?
Jun 27, 2026Yanis Labrak, Dairazalia Sanchez-Cortes, Sergio Burdisso +9Synthetic-to-Real Domain Adaptation Synthetic Data Augmentation
Idiap Research Institute, Martigny, Switzerland · Universite de Toulon, Aix Marseille Univ, LIS, CNRS, Toulon, France · EPFL, Lausanne, Switzerland +3
Semantic-Aware, Physics-Informed, Geometry-Grounded Weather Video Synthesis
Jun 27, 2026Chenghao Qian, Nedko Savov, Lingdong Kong +7Synthetic Data Augmentation Physical Consistency in Video Generation
University of Leeds, UK · INSAIT, Sofia University “St. Kliment Ohridski” · National University of Singapore, Singapore +2
A Task-Driven and Quality-Assured Agent Framework for SAR Data Generation
Jun 27, 2026Xuanting Wu, Fan Zhanga, Fei Ma +3Synthetic Data Augmentation Data Augmentation
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China · Science and Technology on Electromagnetic Scattering Laboratory, Beijing Institute of Environmental Features, Beijing, 100854, China
Quantum Generative Diffusion Model for Real-World Time Series
Jun 25, 2026Jack Waller, Filippo Caruso, Dimitrios Makris +2Synthetic Data Augmentation Quantum Generative Modeling
School of Computer Science and Mathematics, Kingston University London, London, KT1 2EE, U.K.. · Department of Physics and Astronomy, University of Florence, Florence, Sesto Fiorentino 50019, Italy. · Department of Electronics and Electrical Engineering, Brunel University of London, London, UB8 3PH, U.K..
MedDiffuseMix: Preserving Diagnostic Evidence with Saliency-Aware Diffusion Medical Image Data Augmentation
Jun 25, 2026Teerath Kumar, Raja Vavekanand, Muhammad TurabSynthetic Data Augmentation Data Augmentation
School of Computing, Atlantic Technological University, Letterkenny, Ireland. · Department of Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, 75660, Pakistan. · School of Computing, Dublin City University, Dublin, Ireland.
Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology
Jun 25, 2026Kyriaki-Margarita Bintsi, Sparsh Makharia, Yaël Balbastre +4Synthetic Data Augmentation Synthetic Data Generation
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States · Krea University, Sri City, Andhra Pradesh, India · Department of Experimental Psychology, University College London, London, United Kingdom +3
Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis
Jun 25, 2026Yiheng Cao, Gustavo Andrade-Miranda, Jiatian Zhang +2Synthetic Data Augmentation Medical Image Synthesis
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, China · Systemes Complexes et Intelligence Artificielle, IMT Mines Ales, Ales, France · School of Artificial Intelligence and Advanced Computing, Xi’an Jiaotong-Liverpool University, Suzhou, China
When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification?
Jun 24, 2026Zhengchi Ma, Pengfei Lyu, Anru R. ZhangClass-Imbalanced Learning Synthetic Data Augmentation
Department of Electrical & Computer Engineering, Duke University · Department of Biostatistics & Bioinformatics, Duke University · Department of Biostatistics & Bioinformatics and Department of Computer Science, Duke University
DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning
Jun 24, 2026Zili Lin, Wenyao Zhang, Yuyang Zhang +9Synthetic Data Augmentation Data Augmentation
Shanghai Jiao Tong University · Eastern Institute of Technology, Ningbo · Tsinghua University +3
Re-mixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning
Jun 24, 2026Muhammed Furkan Dasdelen, Fatih Ozlugedik, Anastasia Litinetskaya +3Synthetic Data Augmentation Multiple Instance Learning
Computational Health Center & Helmholtz AI, Helmholtz Munich, Munich, Germany · Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany +1
Benchmarking the Alignment of Data-Quality Metrics, Human Judgment and Land-Cover Segmentation Performance for Earth Observation
Jun 23, 2026Ümit Mert Çağlar, Alptekin TemizelSynthetic Data Augmentation Remote Sensing Image Segmentation
Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
QC-SMOTE: Quality-Controlled SMOTE for Imbalanced Classification
Jun 23, 2026Parth Upman, Shreyank N GowdaClass-Imbalanced Learning Synthetic Data Augmentation
School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, United Kingdom
Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methods
Jun 23, 2026Xingsong Ye, Yongkun Du, Jiaxin Zhang +5Synthetic Data Augmentation Scene Text Recognition
Institute of Trustworthy Embodied AI, Fudan University · Shanghai Key Laboratory of Multimodal Embodied AI, Fudan University · WeChat Vision, Tencent Inc. +1
SignNet-1M: Large-Scale Multilingual Sign Language Video Dataset with Downstream Benchmarks
Jun 23, 2026Zhewen He, Junyi Hu, Haomian Huang +3Distribution Shift Robustness Synthetic Data Augmentation
New York University Abu Dhabi, UAE · ChatSign Technology · Tsinghua University, China
MinInter: Minimizing Trajectory Interpolation During Data Augmentation for Imitation Learning
Jun 23, 2026Qingyang Wang, Xingang Liu, Changwei Yao +4Synthetic Data Augmentation Data Augmentation
School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China · Pengcheng Laboratory, Shenzhen 518000, China · Carnegie Mellon University, Pittsburgh, PA 15213, USA
Gen2Balance: Generative Balancing for Long-Tailed Video Action Recognition
Jun 21, 2026Prajwal Gatti, Simon Jenni, Fabian Caba Heilbron +1Synthetic Data Augmentation Long-Tail Learning
University of Bristol · 2Adobe Research

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Enhancing Facial Expression Recognition in Head-Mounted Displays with Synthetic Data

Jianing Deng, Qiang Zhou, Jingtong Hu

University of Pittsburgh

Synthetic Data Augmentation Facial Expression Recognition

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Facial expression recognition (FER) is crucial for social interaction in mixed reality environments that employ head-mounted displays (HMD). However, collecting FER data from head-mounted cameras (HMC) is challenging due to privacy concerns and the diversity of HMD platforms. Moreover, existing FER datasets are not directly applicable due to the unique perspectives of HMCs. The lack of sufficient data hinders the development of neural network-based HMC FER methods. To address data scarcity, we propose a data synthesis framework that generates HMC-view images from frontal-view images, leveraging abundant existing annotated datasets. Specifically, we first reconstruct 3D textured meshes from images and then apply a configurable camera system to render images from the HMC perspective. Additionally, we introduce a texture-space alignment network (TSAN) that enables accurate texture sampling from images to preserve detailed facial expressions. To evaluate the proposed method, we conduct extensive experiments on both simulated and real HMC datasets. Experimental results demonstrate that models trained on our synthetic dataset outperform those trained on existing datasets and exhibit better generalization across different camera configurations.

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