SridBench: Benchmark of Scientific Research Illustration Drawing of Image Generation Model
Yifan Chang, Yukang Feng, Jianwen Sun, Jiaxin Ai, Chuanhao Li, S. Kevin Zhou, Kaipeng Zhang
2025-05-30
Summary
This paper talks about SridBench, a new way to test how well AI models can create scientific illustrations, like charts and diagrams, and compares their results to what humans can do.
What's the problem?
The problem is that even the best AI models right now, like GPT-4o-image, often make mistakes in the meaning and structure of scientific figures, so their illustrations aren't as accurate or clear as those made by people.
What's the solution?
The researchers created SridBench, a special benchmark that measures how well these AI models understand and generate scientific drawings. By testing the models with SridBench, they found that the AI still struggles with the details and logic needed for good scientific visuals.
Why it matters?
This is important because it shows that we need better AI tools for creating scientific figures, which are crucial for research, education, and communication in science. Improving these models could help scientists and students make clearer and more accurate illustrations in the future.
Abstract
The introduction of SridBench, a benchmark for scientific figure generation, reveals that current top-tier models, such as GPT-4o-image, fall short in semantic and structural accuracy compared to human performance, underscoring the need for more advanced multimodal reasoning-driven visual generation.