472 citations · 609 across the 28 of their papers we have counts for
4 papers · 1 filter
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
Yuval Alaluf, Omer Tov, Ron Mokady +2
The inversion of real images into StyleGAN's latent space is a well-studied problem. Nevertheless, applying existing approaches to real-world scenarios remains an open challenge, d…
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal, Or Patashnik, Haggai Maron +2
Can a generative model be trained to produce images from a specific domain, guided by a text prompt only, without seeing any image? In other words: can an image generator be traine…
LARGE: Latent-Based Regression through GAN Semantics
Yotam Nitzan, Rinon Gal, Ofir Brenner +1
We propose a novel method for solving regression tasks using few-shot or weak supervision. At the core of our method is the fundamental observation that GANs are incredibly success…
SWAGAN: A Style-based Wavelet-driven Generative Model
Rinon Gal, Dana Cohen, Amit Bermano +1
In recent years, considerable progress has been made in the visual quality of Generative Adversarial Networks (GANs). Even so, these networks still suffer from degradation in quali…