Search Results for author: Dov Danon

Found 6 papers, 2 papers with code

Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators

no code implementations30 Dec 2021 Dvir Yerushalmi, Dov Danon, Amit H. Bermano

In addition, we propose training a semantic segmentation network along with the translation task, and to leverage this output as a loss term that improves robustness.

Semantic Segmentation Translation +1

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

1 code implementation5 Oct 2020 Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or

State-of-the-art image-to-image translation methods tend to struggle in an imbalanced domain setting, where one image domain lacks richness and diversity.

Image-to-Image Translation Style Transfer +1

Single Pair Cross-Modality Super Resolution

no code implementations CVPR 2021 Guy Shacht, Sharon Fogel, Dov Danon, Daniel Cohen-Or, Ilya Leizerson

The network is trained on the two input images only, learns their internal statistics and correlations, and applies them to up-sample the target modality.

Super-Resolution

Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

1 code implementation CVPR 2020 Moab Arar, Yiftach Ginger, Dov Danon, Ilya Leizerson, Amit Bermano, Daniel Cohen-Or

In this work, we bypass the difficulties of developing cross-modality similarity measures, by training an image-to-image translation network on the two input modalities.

Autonomous Driving Image Registration +2

Image Resizing by Reconstruction from Deep Features

no code implementations17 Apr 2019 Moab Arar, Dov Danon, Daniel Cohen-Or, Ariel Shamir

In this paper we perform image resizing in feature space where the deep layers of a neural network contain rich important semantic information.

Implicit Pairs for Boosting Unpaired Image-to-Image Translation

no code implementations15 Apr 2019 Yiftach Ginger, Dov Danon, Hadar Averbuch-Elor, Daniel Cohen-Or

As a result, in recent years more attention has been given to techniques that learn the mapping from unpaired sets.

Image-to-Image Translation Translation

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