← Authors

Tomer Michaeli

47 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (59) 🧬 Topic Evolution πŸ† Keyword Champion (8) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (15) πŸ† Grand Slam ⚑ Prolific Year (14) πŸš€ Conference Pioneer ❓ The Questioner πŸ’Ž Century Club (47) πŸ—ƒοΈ Keyword Collector (171) πŸ“ˆ Trend Setter

Conferences

CVPR (11) ICML (11) NIPS (10) ICLR (6) ICCV (3) AAAI (2) WACV (2) COLT (1) ECCV (1)

Top co-authors

Michael Elad (8) Rotem Mulayoff (7) Guy Ohayon (6) Hila Manor (5) Tamar Rott Shaham (4) Daniel Soudry (4) Yuval Bahat (4) Vladimir Kulikov (4) Omer Yair (3) Inbar Huberman-Spiegelglas (3)

Keywords

image restoration (12) perceptual quality (8) diffusion model (6) generative model (6) generative adversarial network (4) lossy compression (3) stochastic gradient descent (3) super resolution (3) inverse problem (3) image generation (3) convolutional neural network (3) posterior distribution (3) uncertainty quantification (3) high-resolution image (2) neural network (2) image reconstruction (2) optimal transport (2) image editing (2) image-to-image translation (2) density estimation (1)

Papers

Imitating the Functionality of Image-to-Image Models Using a Single Example WACV 2026
When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets ICML 2025
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models ICCV 2025
Compressed Image Generation with Denoising Diffusion Codebook Models ICML 2025
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration ICLR 2025
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees NIPS 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024
Exact Mean Square Linear Stability Analysis for SGD COLT 2024
Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices ICML 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation NIPS 2024
Perceptual Fairness in Image Restoration NIPS 2024
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification ICLR 2024
From Posterior Sampling to Meaningful Diversity in Image Restoration ICLR 2024
Nested Diffusion Processes for Anytime Image Generation WACV 2024
The Perception-Robustness Tradeoff in Deterministic Image Restoration ICML 2024
Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion ICML 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections CVPR 2024
An Edit Friendly DDPM Noise Space: Inversion and Manipulations CVPR 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling ECCV 2024
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration NIPS 2023
Uncertainty Quantification via Neural Posterior Principal Components NIPS 2023
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint NIPS 2023
SinDDM: A Single Image Denoising Diffusion Model ICML 2023
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks ICLR 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations CVPR 2023
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality ICML 2023
GAN "Steerability" without optimization ICLR 2021
The Implicit Bias of Minima Stability: A View from Function Space NIPS 2021
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example NIPS 2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space NIPS 2021
Sparsity Aware Normalization for GANs AAAI 2021
What's in the Image? Explorable Decoding of Compressed Images CVPR 2021
Spatially-Adaptive Pixelwise Networks for Fast Image Translation CVPR 2021
Deep Self-Dissimilarities as Powerful Visual Fingerprints NIPS 2021
Contrastive Divergence Learning is a Time Reversal Adversarial Game ICLR 2021
Unique Properties of Flat Minima in Deep Networks ICML 2020
Explorable Super Resolution CVPR 2020
SinGAN: Learning a Generative Model From a Single Natural Image ICCV 2019
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff ICML 2019
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration CVPR 2018
Deformation Aware Image Compression CVPR 2018
Revealing Common Statistical Behaviors in Heterogeneous Populations ICML 2018
Modifying Non-Local Variations Across Multiple Views CVPR 2018
The Perception-Distortion Tradeoff CVPR 2018
Multi-Scale Weighted Nuclear Norm Image Restoration CVPR 2018
Nonparametric Canonical Correlation Analysis ICML 2016
Nonparametric Blind Super-resolution ICCV 2013