Multi-level transitional contrast learning for personalized image aesthetics assessment

• Main Authors: Yang, Zhichao, Li, Leida, Yang, Yuzhe, Li, Yaqian, Lin, Weisi
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Contrast Learning; Aesthetic Preferences
• Online Access: https://hdl.handle.net/10356/171829
• Institution: Nanyang Technological University

Personalized image aesthetics assessment (PIAA) is aimed at modeling the unique aesthetic preferences of individuals, based on which personalized aesthetic scores are predicted. People have different standards for image aesthetics, and accordingly, images rated at the same aesthetic level by differe...