Search Results for author: Omer Tov

Found 4 papers, 3 papers with code

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

no code implementations28 Feb 2022 Amit H. Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or

Of these, StyleGAN offers a fascinating case study, owing to its remarkable visual quality and an ability to support a large array of downstream tasks.

Image Generation

Self-Distilled StyleGAN: Towards Generation from Internet Photos

1 code implementation24 Feb 2022 Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-Or, Tali Dekel, Michal Irani, Inbar Mosseri

To meet these challenges, we proposed a StyleGAN-based self-distillation approach, which consists of two main components: (i) A generative-based self-filtering of the dataset to eliminate outlier images, in order to generate an adequate training set, and (ii) Perceptual clustering of the generated images to detect the inherent data modalities, which are then employed to improve StyleGAN's "truncation trick" in the image synthesis process.

Image Generation

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

1 code implementation30 Nov 2021 Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit H. Bermano

In this work, we introduce this approach into the realm of encoder-based inversion.

Designing an Encoder for StyleGAN Image Manipulation

4 code implementations4 Feb 2021 Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or

We then suggest two principles for designing encoders in a manner that allows one to control the proximity of the inversions to regions that StyleGAN was originally trained on.

Image Manipulation

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