PortrAid: An AI-Driven Portrait Assistant for Professional-Quality Image Composition
In the contemporary landscape of ubiquitous portrait photography, achieving professional-quality results remains a significant challenge for many users. This paper introduces PortrAid (portrait aid), an AI-driven portrait assistant system designed to empower users in creating high-quality portraits. Our system employs a modified ResNet50 architecture to analyze portrait shots, adhering to established compositional principles. The proposed method was trained and evaluated on a substantial dataset comprising over 60, 000 portraits, demonstrating precision of 0.9663 in identifying suboptimal portrait captures. Notably, the system exhibits high computational efficiency, processing images within 0.15 seconds on standard hardware. This research not only contributes to advancements in automated image analysis but also democratizes access to professional portrait techniques for users of all skill levels, with practical applications across both amateur and professional photography workflows.
Authors
- Gongbo Liang (ORCID: https://orcid.org/0000-0002-6700-6664)
- Jaspal Singh Kahlon
Institutions
- Texas A&M University – San Antonio (US)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1145/3696673.3723059
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00