This research introduces a comprehensive assessment system for Arbitrary Image Style Transfer (AST) methods. Recognizing the limitations of existing evaluation approaches, our framework combines subjective user studies with objective metrics to provide a multi-grained understanding of AST performance.

🗹 Release the user study website.
🗹 Release the standard dataset with annotatio.
☐ Release the code for extracting the ADE20K dataset to obtain image segmentation information.
☐ Release the explanation and starter code for the standard dataset.
☐ Release the evaluation code for AST methods.

For our subjective study, we have created an interactive website where participants can engage. Welcome to our platform, designed to host a variety of user studies. We invite you to explore and participate at your convenience, and we hope you have a delightful experience! 🐶

Click here for user study 😺

For the objective study, we have constructed a standard dataset of stylized images generated by various AST methods.

Dataset Download: OneDrive iCloud Drive 🐳