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06/30/2023
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
We study the type of solutions to which stochastic gradient descent conv...
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06/13/2023
Exact Mean Square Linear Stability Analysis for SGD
The dynamical stability of optimization methods at the vicinity of minim...
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06/04/2023
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
Many practical settings call for the reconstruction of temporal signals ...
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06/04/2023
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
We propose an image restoration algorithm that can control the perceptua...
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05/30/2023
Nested Diffusion Processes for Anytime Image Generation
Diffusion models are the current state-of-the-art in image generation, s...
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05/22/2023
GSURE-Based Diffusion Model Training with Corrupted Data
Diffusion models have demonstrated impressive results in both data gener...
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04/12/2023
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Denoising diffusion probabilistic models (DDPMs) employ a sequence of wh...
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03/20/2023
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
Denoising Diffusion Models (DDMs) have emerged as a strong competitor to...
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03/14/2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
Although CNNs are believed to be invariant to translations, recent works...
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12/18/2022
Internal Diverse Image Completion
Image completion is widely used in photo restoration and editing applica...
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12/03/2022
BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning
Training a generative model on a single image has drawn significant atte...
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11/29/2022
SinDDM: A Single Image Denoising Diffusion Model
Denoising diffusion models (DDMs) have led to staggering performance lea...
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11/16/2022
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
Stochastic restoration algorithms allow to explore the space of solution...
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02/06/2022
Energy awareness in low precision neural networks
Power consumption is a major obstacle in the deployment of deep neural n...
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07/06/2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
The lower the distortion of an estimator, the more the distribution of i...
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06/11/2021
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Models for audio generation are typically trained on hours of recordings...
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05/13/2021
On information rates over a binary input channel
We study communication systems over band-limited Additive White Gaussian...
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03/03/2021
Sparsity Aware Normalization for GANs
Generative adversarial networks (GANs) are known to benefit from regular...
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12/09/2020
GAN Steerability without optimization
Recent research has shown remarkable success in revealing "steering" dir...
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12/06/2020
Contrastive Divergence Learning is a Time Reversal Adversarial Game
Contrastive divergence (CD) learning is a classical method for fitting u...
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12/05/2020
Spatially-Adaptive Pixelwise Networks for Fast Image Translation
We introduce a new generator architecture, aimed at fast and efficient h...
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09/29/2020
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
A long-standing challenge in multiple-particle-tracking is the accurate ...
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06/16/2020
Explorable Decoding of Compressed Images
The ever-growing amounts of visual contents captured on a daily basis ne...
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02/11/2020
Unique Properties of Wide Minima in Deep Networks
It is well known that (stochastic) gradient descent has an implicit bias...
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12/04/2019
Explorable Super Resolution
Single image super resolution (SR) has seen major performance leaps in r...
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05/02/2019
SinGAN: Learning a Generative Model from a Single Natural Image
We introduce SinGAN, an unconditional generative model that can be learn...
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01/23/2019
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Lossy compression algorithms are typically designed and analyzed through...
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11/27/2018
Dense xUnit Networks
Deep net architectures have constantly evolved over the past few years, ...
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09/20/2018
2018 PIRM Challenge on Perceptual Image Super-resolution
This paper reports on the 2018 PIRM challenge on perceptual super-resolu...
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04/13/2018
On the Minimal Overcompleteness Allowing Universal Sparse Representation
Sparse representation over redundant dictionaries constitutes a good mod...
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04/12/2018
Deformation Aware Image Compression
Lossy compression algorithms aim to compactly encode images in a way whi...
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11/17/2017
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
In recent years, deep neural networks (DNNs) achieved unprecedented perf...
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11/16/2017
The Perception-Distortion Tradeoff
Image restoration algorithms are typically evaluated by some distortion ...
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05/30/2017
Joint auto-encoders: a flexible multi-task learning framework
The incorporation of prior knowledge into learning is essential in achie...
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11/16/2015
Nonparametric Canonical Correlation Analysis
Canonical correlation analysis (CCA) is a classical representation learn...
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03/20/2012