AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. - Xiangfei Sheng; Leida Li; Pengfei Chen 003; Jinjian Wu; Weisheng Dong; Yuzhe Yang 001; Liwu Xu; Yaqian Li; Guangming Shi (ACM Multimedia, 2023)

Technical Quality-Assisted Image Aesthetics Quality Assessment. - Xiangfei Sheng; Leida Li; Pengfei Chen 003; Jinjian Wu; Liwu Xu; Yuzhe Yang 001; Yaqian Li (PRCV (11), 2023)

Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey. - Nicolas Chahine; Marcos V. Conde; Daniela Carfora; Gabriel Pacianotto; Benoit Pochon; Sira Ferradans; Radu Timofte; Zhichao Duan 002; Xinrui Xu; Yipo Huang; Quan Yuan; Xiangfei Sheng; et al. (CVPR Workshops, 2024)

AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception. - Yipo Huang; Xiangfei Sheng; Zhichao Yang 013; Quan Yuan; Zhichao Duan 002; Pengfei Chen 003; Leida Li; Weisi Lin; Guangming Shi (ACM Multimedia, 2024)

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception. - Yipo Huang; Quan Yuan; Xiangfei Sheng; Zhichao Yang 013; Haoning Wu 001; Pengfei Chen 003; Yuzhe Yang 001; Leida Li; Weisi Lin (CoRR, 2024)

Towards Explainable Image Aesthetics Assessment With Attribute-Oriented Critiques Generation. - Leida Li; Xiangfei Sheng; Pengfei Chen 003; Jinjian Wu; Weisheng Dong (IEEE Trans. Circuits Syst. Video Technol., 2025)