Welcome to Handsome Synthetic Data, a curated collection of papers on synthetic data generation. This repository aims to provide a comprehensive resource for researchers and practitioners interested in synthetic data across various domains.
If this project lights up your workflow, don’t forget to ⭐ Give us a Star ⭐ on GitHub! 🙇🙇🙇
Your support motivates us to keep improving and sharing! 🚀🎉
Synthetic data is becoming increasingly important for machine learning and data-driven research. This repository collects influential and state-of-the-art papers on synthetic data generation methods. Whether you're new to synthetic data or looking for inspiration for your next project, this collection will help you.
| Paper | Application areas | Synthetic Method | Quick Overview | Time | code |
|---|---|---|---|---|---|
| MOTSynth | Pedestrian | GTA-V(3D Game Engine) | MOTSynth_read | 2024 | - |
| Fake it till you make it | face analysis | VFX | Fake it till you make it | 2024 | Fake it till you make it |
Let us know if you have ideas to make this repository more useful! Contributing
🧑💻Tom123478
This project is licensed under the MIT License. See the LICENSE file for details.