997 citations · 2.4k across the 65 of their papers we have counts for
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A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
Dror Freirich, Tomer Michaeli, Ron Meir
The lower the distortion of an estimator, the more the distribution of its outputs generally deviates from the distribution of the signals it attempts to estimate. This phenomenon,…
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Gal Greshler, Tamar Rott Shaham, Tomer Michaeli
Models for audio generation are typically trained on hours of recordings. Here, we illustrate that capturing the essence of an audio source is typically possible from as little as…
On information rates over a binary input channel
Michael Peleg, Tomer Michaeli, Shlomo Shamai
We study communication systems over band-limited Additive White Gaussian Noise (AWGN) channels in which the transmitter output is constrained to be symmetric binary (bi-polar). In…
Sparsity Aware Normalization for GANs
Idan Kligvasser, Tomer Michaeli
Generative adversarial networks (GANs) are known to benefit from regularization or normalization of their critic (discriminator) network during training. In this paper, we analyze…
GAN "Steerability" without optimization
Nurit Spingarn-Eliezer, Ron Banner, Tomer Michaeli
Recent research has shown remarkable success in revealing "steering" directions in the latent spaces of pre-trained GANs. These directions correspond to semantically meaningful ima…