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Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

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Showing 126–150 of 822 papers

TitleStatusHype
NViSII: A Scriptable Tool for Photorealistic Image GenerationCode1
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption ModelsCode1
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in ArchitectureCode1
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D EnvironmentsCode1
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANsCode1
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANsCode1
Differentially Private Synthetic Medical Data Generation using Convolutional GANsCode1
Copula-based synthetic data augmentation for machine-learning emulatorsCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
DeepNAG: Deep Non-Adversarial Gesture GenerationCode1
Tabular Transformers for Modeling Multivariate Time SeriesCode1
Scenic: A Language for Scenario Specification and Data GenerationCode1
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated SourcesCode1
Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic DataCode1
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference HidingCode1
MTSS-GAN: Multivariate Time Series Simulation Generative Adversarial NetworksCode1
DeltaPy: A Framework for Tabular Data Augmentation in PythonCode1
Exploring Transformer Text Generation for Medical Dataset AugmentationCode1
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic DataCode1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss FunctionsCode1
Privacy-preserving data sharing via probabilistic modellingCode1
Scenic: A Language for Scenario Specification and Scene GenerationCode1
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All datasetsUCI Epileptic Seizure RecognitionUNSW-NB15

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1corGANAUROC0.92—Unverified
2GANAUROC0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1kiNETGANEMD0.07—Unverified
2CTGANEMD0.07—Unverified