activity
20202024
most citedState-of-the-Art in the Architecture, Methods and Applications of StyleGAN

9 citations · 22 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV20231 cited

Breathing Life Into Sketches Using Text-to-Video Priors

Rinon Gal, Yael Vinker, Yuval Alaluf +4

A sketch is one of the most intuitive and versatile tools humans use to convey their ideas visually. An animated sketch opens another dimension to the expression of ideas and is wi…

cs.CV20229 cited

State-of-the-Art in the Architecture, Methods and Applications of StyleGAN

Amit H. Bermano, Rinon Gal, Yuval Alaluf +5

Generative Adversarial Networks (GANs) have established themselves as a prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study, owing to its rema…

cs.CV20224 cited

Third Time's the Charm? Image and Video Editing with StyleGAN3

Yuval Alaluf, Or Patashnik, Zongze Wu +4

StyleGAN is arguably one of the most intriguing and well-studied generative models, demonstrating impressive performance in image generation, inversion, and manipulation. In this w…

cs.CV20211 cited

StyleFusion: A Generative Model for Disentangling Spatial Segments

Omer Kafri, Or Patashnik, Yuval Alaluf +1

We present StyleFusion, a new mapping architecture for StyleGAN, which takes as input a number of latent codes and fuses them into a single style code. Inserting the resulting styl…

cs.CV2021

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement

Yuval Alaluf, Or Patashnik, Daniel Cohen-Or

Recently, the power of unconditional image synthesis has significantly advanced through the use of Generative Adversarial Networks (GANs). The task of inverting an image into its c…

cs.CV20216 cited

Designing an Encoder for StyleGAN Image Manipulation

Omer Tov, Yuval Alaluf, Yotam Nitzan +2

Recently, there has been a surge of diverse methods for performing image editing by employing pre-trained unconditional generators. Applying these methods on real images, however,…