AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception

1 code implementation • 15 Apr 2024 • Yipo Huang, Xiangfei Sheng, Zhichao Yang, Quan Yuan, Zhichao Duan, Pengfei Chen, Leida Li, Weisi Lin, Guangming Shi

To address the above challenge, we first introduce a comprehensively annotated Aesthetic Multi-Modality Instruction Tuning (AesMMIT) dataset, which serves as the footstone for building multi-modality aesthetics foundation models.

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

1 code implementation • 16 Jan 2024 • Yipo Huang, Quan Yuan, Xiangfei Sheng, Zhichao Yang, HaoNing Wu, Pengfei Chen, Yuzhe Yang, Leida Li, Weisi Lin

An obvious obstacle lies in the absence of a specific benchmark to evaluate the effectiveness of MLLMs on aesthetic perception.

MLLM Evaluation: Aesthetics