BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation

TL;DR

BizGenEval is a comprehensive benchmark designed to evaluate the performance of image generation models in complex, real-world commercial visual content creation tasks across multiple document types and capability dimensions.

Contribution

This work introduces BizGenEval, the first systematic benchmark specifically targeting commercial visual content generation with diverse tasks and human-verified evaluation metrics.

Findings

Significant performance gaps between current models and professional content creation needs.

Benchmark covers five document types and four key capability dimensions.

Evaluation of 26 popular image generation systems reveals areas for improvement.

Abstract

Recent advances in image generation models have expanded their applications beyond aesthetic imagery toward practical visual content creation. However, existing benchmarks mainly focus on natural image synthesis and fail to systematically evaluate models under the structured and multi-constraint requirements of real-world commercial design tasks. In this work, we introduce BizGenEval, a systematic benchmark for commercial visual content generation. The benchmark spans five representative document types: slides, charts, webpages, posters, and scientific figures, and evaluates four key capability dimensions: text rendering, layout control, attribute binding, and knowledge-based reasoning, forming 20 diverse evaluation tasks. BizGenEval contains 400 carefully curated prompts and 8000 human-verified checklist questions to rigorously assess whether generated images satisfy complex visual and semantic constraints. We conduct large-scale benchmarking on 26 popular image generation systems, including state-of-the-art commercial APIs and leading open-source models. The results reveal substantial capability gaps between current generative models and the requirements of professional visual content creation. We hope BizGenEval serves as a standardized benchmark for real-world commercial visual content generation.