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Found 3 papers, 2 papers with code
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
In conclusion, our research introduces a novel and professional approach to addressing the limitations of synthetic data generation in the healthcare domain.
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers
The generation of high-quality, long-sequenced time-series data is essential due to its wide range of applications.
Bangla Handwritten Digit Recognition and Generation
Handwritten digit or numeral recognition is one of the classical issues in the area of pattern recognition and has seen tremendous advancement because of the recent wide availability of computing resources.
Generative Adversarial Network
Handwritten Digit Recognition
