SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 822 papers

TitleStatusHype
RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari LanguagesCode0
Generative Zoo—0
Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial VehiclesCode0
Data Augmentation with Variational Autoencoder for Imbalanced DatasetCode0
Improving text-conditioned latent diffusion for cancer pathologyCode0
CALICO: Conversational Agent Localization via Synthetic Data Generation—0
A text-to-tabular approach to generate synthetic patient data using LLMsCode0
Give me Some Hard Questions: Synthetic Data Generation for Clinical QACode0
ALMA: Alignment with Minimal Annotation—0
End to End Collaborative Synthetic Data Generation—0
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic DataCode0
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models—0
DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining—0
SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion ModelsCode1
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces—0
MALT: Improving Reasoning with Multi-Agent LLM Training—0
Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion ModelsCode0
Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries—0
Well log data generation and imputation using sequence-based generative adversarial networks—0
LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes—0
MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification—0
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts—0
Synthetic Data Generation with LLM for Improved Depression Prediction—0
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks—0
High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR—0
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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