Core Viewpoint - The article introduces the Evaluation Agent, an AI framework designed to efficiently and flexibly evaluate visual generative models, addressing the limitations of traditional evaluation methods and catering to user-specific needs [3][41]. Group 1: Evaluation Agent Features - Customizable: Users can specify their focus areas, and the Evaluation Agent will tailor the evaluation plan accordingly, allowing for "on-demand evaluation" [11][12]. - High Efficiency: The Evaluation Agent significantly reduces the number of samples needed for evaluation, compressing the overall evaluation time to about 10% of traditional methods, making it suitable for rapid feedback during iterative development [13]. - Explainable: The results are presented in natural language, providing comprehensive summaries of model capabilities, limitations, and improvement directions [14]. - Scalable: The framework supports the integration of various tasks, tools, and metrics, making it adaptable for different visual generative tasks such as image and video generation [15]. Group 2: Framework Operation - The Evaluation Agent operates in two main stages: the Proposal Stage, which customizes the evaluation plan based on user input, and the Execution Stage, where the framework generates content and analyzes quality using appropriate evaluation tools [20][22]. - Dynamic multi-round interaction allows for continuous feedback and optimization of prompts and task settings based on evaluation results, enabling a deeper assessment of model capabilities [23]. Group 3: Performance Comparison - The Evaluation Agent demonstrates superior efficiency compared to traditional evaluation frameworks, saving over 90% of time while maintaining high consistency in evaluation results across various models [28][29]. Group 4: Future Directions - Future research may expand the Evaluation Agent's capabilities to cover more visual tasks, optimize open-ended evaluation mechanisms, and enhance understanding of complex concepts like style transfer and emotional expression [36][39].