Method Detail: LiYanchu_AesBench

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Benchmark: AesBench
Short name: LiYanchu_AesBench
Long name: AesBench Evaluation by Li Yanchu
Description: This method evaluates multimodal large language models on image aesthetic perception tasks using the AesBench benchmark. The evaluation covers three dimensions: Aesthetic Perception (AesP), Aesthetic Empathy (AesE), and Aesthetic Assessment (AesA1). Results are generated by analyzing image aesthetics through visual-language model inference.
Reference: N/A
Last submitted: September 18, 2026
Published: September 18, 2026 at 09:48:56
Submissions: 1
Project page / code: https://github.com/yipoh/AesBench
Open source: Yes

Benchmark performance

Submission Date AesP (↑) AesE (↑) AesA1 (↑)
2026-09-18 11:00 0.0000 0.0000 0.0000