MLLM Aesthetic Evaluation

Aesthetic evaluation using multimodal large language models (MLLM) is a process that leverages deep learning techniques to analyze and quantify the aesthetic quality of multimodal data, such as images and text. This technology combines the strengths of computer vision and natural language processing, aiming to provide objective and comprehensive aesthetic scores through multi-dimensional feature extraction and fusion. It is widely applied in areas like artistic creation, advertising design, and social media, enhancing user experience and content quality.