AesBench is an expert benchmark designed to comprehensively evaluate the aesthetic perception capacities of Multimodal Large Language Models (MLLMs) when it comes to image aesthetics perception. Let me break it down for you:
The lack of a specific benchmark for evaluating MLLMs in this domain hinders their further development.
What Is AesBench?:
It evaluates MLLMs' aesthetic perception abilities through dual facets:
Findings:
In summary, AesBench provides a valuable tool for assessing how well MLLMs understand and appreciate the beauty of images. 📸🌟
(1) [2401.08276] AesBench: An Expert Benchmark for Multimodal Large .... https://arxiv.org/abs/2401.08276. (2) GitHub - yipoh/AesBench: An expert benchmark aiming to comprehensively .... https://github.com/yipoh/AesBench. (3) AesBench/README.md at main · yipoh/AesBench · GitHub. https://github.com/yipoh/AesBench/blob/main/README.md. (4) undefined. https://doi.org/10.48550/arXiv.2401.08276.
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