Search Results for author: Ben Feinstein

Found 4 papers, 2 papers with code

Diverse Video Generation from a Single Video

no code implementations11 May 2022 Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani

GANs are able to perform generation and manipulation tasks, trained on a single video.

Video Generation

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

2 code implementations CVPR 2022 Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani

Recently, however, Single Image GANs were introduced both as a superior solution for such manipulation tasks, but also for remarkable novel generative tasks.

Image Generation Image Manipulation

From Discrete to Continuous Convolution Layers

1 code implementation19 Jun 2020 Assaf Shocher, Ben Feinstein, Niv Haim, Michal Irani

We propose a generalization of the common Conv-layer, from a discrete layer to a Continuous Convolution (CC) Layer.

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