Composition and Style Attributes Guided Image Aesthetic Assessment
Author:
Affiliation:
1. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy
2. Lastminute.com, Chiasso, Switzerland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9626658/09837802.pdf?arnumber=9837802
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Hybrid CNN-transformer based meta-learning approach for personalized image aesthetics assessment;Journal of Visual Communication and Image Representation;2024-02
2. Multi-Task Convolutional Neural Network for Image Aesthetic Assessment;IEEE Access;2024
3. Multi-Level Transitional Contrast Learning for Personalized Image Aesthetics Assessment;IEEE Transactions on Multimedia;2024
4. BMI-Net: A Brain-inspired Multimodal Interaction Network for Image Aesthetic Assessment;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
5. AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
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