Tomer Michaeli

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