UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark

arXiv:2404.09619v1 Announce Type: new
Abstract: As an alternative to expensive expert evaluation, Image Aesthetic Assessment (IAA) stands out as a crucial task in computer vision. However, traditional IAA methods are typically constrained to a single data source or task, restricting the universality and broader application. In this work, to better align with human aesthetics, we propose a Unified Multi-modal Image Aesthetic Assessment (UNIAA) framework, including a Multi-modal Large Language Model (MLLM) named UNIAA-LLaVA and a comprehensive benchmark named UNIAA-Bench. We …

abstract application arxiv assessment benchmark computer computer vision cs.ai cs.cv data evaluation expert however image modal multi-modal type vision work