The paper "FashionReGen: LLM-Empowered Fashion Report Generation" introduces an intelligent system, GPT-FAR, designed to automate the process of fashion report generation. Traditional fashion analysis, which relies heavily on a small group of experts, is labor-intensive and can be biased. GPT-FAR leverages advanced Large Language Models (LLMs) to perform catwalk analysis, a critical step in fashion trend interpretation. The system includes three main stages: catwalk understanding, collective organization and analysis, and fashion report generation. Key features include a GPT-4V-based garment tagger for detailed categorization and attribute tagging, a two-stage tag cleaning process to unify and group synonyms, and a GPT-4V-based algorithm for generating textual analysis. The system aims to produce comprehensive, illustrative, and hybrid modality reports, offering a platform for users to generate their own fashion reports. The paper also discusses the system's effectiveness and future improvements, highlighting its potential for enhancing fashion analysis and reporting in the industry.The paper "FashionReGen: LLM-Empowered Fashion Report Generation" introduces an intelligent system, GPT-FAR, designed to automate the process of fashion report generation. Traditional fashion analysis, which relies heavily on a small group of experts, is labor-intensive and can be biased. GPT-FAR leverages advanced Large Language Models (LLMs) to perform catwalk analysis, a critical step in fashion trend interpretation. The system includes three main stages: catwalk understanding, collective organization and analysis, and fashion report generation. Key features include a GPT-4V-based garment tagger for detailed categorization and attribute tagging, a two-stage tag cleaning process to unify and group synonyms, and a GPT-4V-based algorithm for generating textual analysis. The system aims to produce comprehensive, illustrative, and hybrid modality reports, offering a platform for users to generate their own fashion reports. The paper also discusses the system's effectiveness and future improvements, highlighting its potential for enhancing fashion analysis and reporting in the industry.