Paper Contents
Abstract
This review examines advancements in hair modeling, styling, and recommendation systems, with an emphasis on the application of AI and machine learning techniques. The primary focus is on hair detection, segmentation, hair simulation, and virtual try-on systems. By reviewing the latest studies, this paper aims to highlight key developments in the field, such as hair matting, real-time hair simulation, and personalized hairstyle recommendations, while also addressing ongoing challenges in accuracy, realism, and computational efficiency.
Copyright
Copyright © 2024 Shravani Mestry. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS41100047569
ISSN:
2321-9653
Publisher:
ijprems