Search Results for author: Muhammed Pektas

Found 2 papers, 0 papers with code

Efficient Hair Style Transfer with Generative Adversarial Networks

no code implementations22 Oct 2022 Muhammed Pektas, Baris Gecer, Aybars Ugur

Despite the recent success of image generation and style transfer with Generative Adversarial Networks (GANs), hair synthesis and style transfer remain challenging due to the shape and style variability of human hair in in-the-wild conditions.

Image Generation Style Transfer +1

Realistic Hair Synthesis with Generative Adversarial Networks

no code implementations13 Sep 2022 Muhammed Pektas, Aybars Ugur

The results obtained in these tasks and the operating time of the method were compared with MichiGAN, one of the best methods in the literature.

Generative Adversarial Network Image Enhancement +2

Cannot find the paper you are looking for? You can Submit a new open access paper.