Step1X-Edit's standardized assessment system
GEdit-Bench is a key component of the Step1X-Edit project, establishing the first standardized evaluation benchmark for the field of natural language image editing. The test set contains a large number of user editing commands and corresponding expected results in real-world scenarios, covering a wide range of task types from simple object removal to complex style transitions. The evaluation metrics take into account multiple dimensions such as command adherence accuracy, image quality retention, and naturalness of the edited image.
Compared to traditional evaluation methods that focus only on the quality of image generation, GEdit-Bench places special emphasis on the accurate understanding and realization of editorial intent. The test set contains both Chinese and English commands, enabling a comprehensive assessment of the model's performance in different language environments. The project team used the benchmark to validate the performance of Step1X-Edit close to commercial models such as GPT-4o, and also provided a clear optimization direction for other researchers to improve their models.
GEdit-Bench's open and standardized design makes it the de facto standard for academics to evaluate new algorithms, and the project's GitHub page details the testing protocol and scoring criteria, allowing researchers to use or extend this evaluation system directly. This standardized measurement method fills a gap in the lack of systematic evaluation of open source image editing tools.
This answer comes from the articleStep1X-Edit: An Open Source Tool for Editing Images with Natural Language InstructionsThe
