A Comparative Study of Neural Style Transfer Models
Vedika Srivastava, Hemant Kumar Singh · 2023
The study evaluates various style transfer models and their ability to generate high-quality stylized images. Four distinct style transfer models will be compared and analyzed, taking into consideration their respective strengths and limitations. The outcomes of this investigation are anticipated to provide valuable insights into the effectiveness of these models and facilitate the identification of the optimal approach for achieving superior style transfer in image transformation applications. Additionally, the research aims to contribute to the understanding and tracking of the evolutionary progress of Neural Style transfer methods.