Erkut Erdem
@erkuterdem.bsky.social
Professor of Computer Science at Hacettepe University, Researcher in Computer Vision, Machine Learning, Artificial Intelligence, TUBA-GEBIP Outstanding Young Scientist Awardee
GANs like StyleGAN generate highly realistic images. But adapting them to new domains or tasks like text-guided editing or reference-guided synthesis with limited data is challenging! 🖼️✨
Our #SIGGRAPHAsia 2024 paper, HyperGAN-CLIP, tackles this: youtu.be/X0VOYFhPWxQ (1/n)
Our #SIGGRAPHAsia 2024 paper, HyperGAN-CLIP, tackles this: youtu.be/X0VOYFhPWxQ (1/n)
A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation (SIGGRAPH Asia'24)
YouTube video by Erkut Erdem
youtu.be
November 21, 2024 at 5:52 AM
GANs like StyleGAN generate highly realistic images. But adapting them to new domains or tasks like text-guided editing or reference-guided synthesis with limited data is challenging! 🖼️✨
Our #SIGGRAPHAsia 2024 paper, HyperGAN-CLIP, tackles this: youtu.be/X0VOYFhPWxQ (1/n)
Our #SIGGRAPHAsia 2024 paper, HyperGAN-CLIP, tackles this: youtu.be/X0VOYFhPWxQ (1/n)