יום שלישי, 31.5.2022, 11:30
Zoom Lecture: https://technion.zoom.us/my/chaimbaskin
StyleGAN is already quite famous for its unremarkable image editing capabilities. Although other generative models (e.g. diffusion models) achieve comparable synthesis quality, they cannot reproduce these semantically richmanipulations. In particular, StyleGAN allows the modification of various attributes, such as hair, age, pose, expression, and make-up, while still maintaining a high level of realism. Yet, it is still challenging to leverage these traits for real data or new domains. In this talk, we discuss three main ...
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