What is it about?
This paper reviews how deep learning is used to assess the beauty of images. It explores different methods, challenges, and ways to improve accuracy in judging image aesthetics.
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Why is it important?
Understanding image aesthetics quality with deep learning helps improve AI-generated content, product design, and user experience in industries like fashion and e-commerce. It also enables better recommendations, higher-quality visuals, and more engaging digital content.
Perspectives
Collaborating with my co-authors on this article was a truly rewarding experience. It allowed us to explore the evolving field of image aesthetics and its impact on AI-driven applications. I hope this review helps researchers and industry professionals better understand the challenges and opportunities in deep learning-based aesthetic assessment and inspires further innovation in this field.
Maedeh Daryanavard
Rijksuniversiteit Groningen
Read the Original
This page is a summary of: Deep Learning Based Image Aesthetic Quality Assessment- A Review, ACM Computing Surveys, February 2025, ACM (Association for Computing Machinery),
DOI: 10.1145/3716820.
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