7 citations · 11 across the 2 of their papers we have counts for
4 papers · 1 filter
AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
Yipo Huang, Quan Yuan, Xiangfei Sheng +6
With collective endeavors, multimodal large language models (MLLMs) are undergoing a flourishing development. However, their performances on image aesthetics perception remain inde…
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
Jinjin Xu, Liwu Xu, Yuzhe Yang +5
Recent advancements in multi-modal large language models (MLLMs) have led to substantial improvements in visual understanding, primarily driven by sophisticated modality alignment…
CLIP Brings Better Features to Visual Aesthetics Learners
Liwu Xu, Jinjin Xu, Yuzhe Yang +3
Image Aesthetics Assessment (IAA) is a challenging task due to its subjective nature and expensive manual annotations. Recent large-scale vision-language models, such as Contrastiv…
Personalized Image Aesthetics Assessment with Rich Attributes
Yuzhe Yang, Liwu Xu, Leida Li +4
Personalized image aesthetics assessment (PIAA) is challenging due to its highly subjective nature. People's aesthetic tastes depend on diversified factors, including image charact…