archivedDeveloper Productivity
DeepArtist: Symmetric Neural Style Transfer
Research and platform development for making neural style transfer with experimental methods and integrated UI and reporting.
Key Research Findings
Reproducible neural style transfer workflows with comprehensive reporting
Developed novel variations of style transfer algorithms
Demonstrated emergent properties of symmetry in texture generation
Technical Details & Impact
Technologies Used
JavaTensorFlowWeb TechnologiesGPU Computing
Research Status
Last updated: 2021
Research Impact
Influenced accessibility of AI art tools, educated thousands on neural style transfer
This research is part of ongoing open-source development. Contributions, discussions, and collaborations are welcome.