3 papers
cs.SD2025
Tune It Up: Music Genre Transfer and Prediction
Fidan Samet, Oguz Bakir, Adnan Fidan
Deep generative models have been used in style transfer tasks for images. In this study, we adapt and improve CycleGAN model to perform music style transfer on Jazz and Classic gen…
cs.CV2023
WAIT: Feature Warping for Animation to Illustration video Translation using GANs
Samet Hicsonmez, Nermin Samet, Fidan Samet +3
In this paper, we explore a new domain for video-to-video translation. Motivated by the availability of animation movies that are adopted from illustrated books for children, we ai…
cs.CV2021
GANiry: Bald-to-Hairy Translation Using CycleGAN
Fidan Samet, Oguz Bakir
This work presents our computer vision course project called bald men-to-hairy men translation using CycleGAN. On top of CycleGAN architecture, we utilize perceptual loss in order…