Michael Elad
25 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(39)
π
Keyword Champion
(3)
π
Triple Crown
π₯
Unstoppable
(5)
β
The Questioner
π
Century Club
(25)
ποΈ
Keyword Collector
(84)
β‘
Prolific Year
(9)
Conferences
NIPS (6)
ICML (5)
WACV (5)
ICCV (3)
CVPR (2)
ICLR (2)
ECCV (1)
JMLR (1)
Top co-authors
Keywords
image restoration
(6)
perceptual quality
(4)
convolutional sparse coding
(3)
inverse problem
(3)
adversarial training
(3)
adversarial robustness
(3)
posterior sampling
(2)
perceptually aligned gradient
(2)
text-to-image generation
(2)
diffusion model
(2)
self-supervised learning
(2)
image denoising
(2)
dictionary learning
(2)
patch matching
(2)
convolutional neural network
(2)
sparse representation
(2)
bayesian inference
(1)
computer vision
(1)
variational inference
(1)
adversarial learning
(1)
Papers
Anchored Diffusion for Video Face Reenactment
WACV 2025
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
ICLR 2025
SILO: Solving Inverse Problems with Latent Operators
ICCV 2025
Compressed Image Generation with Denoising Diffusion Codebook Models
ICML 2025
Class-Conditioned Transformation for Enhanced Robust Image Classification
WACV 2025
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
ICLR 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
NIPS 2024
Perceptual Fairness in Image Restoration
NIPS 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
ECCV 2024
The Perception-Robustness Tradeoff in Deterministic Image Restoration
ICML 2024
Early Time Classification with Accumulated Accuracy Gap Control
ICML 2024
CLIPAG: Towards Generator-Free Text-to-Image Generation
WACV 2024
Nested Diffusion Processes for Anytime Image Generation
WACV 2024
Weakly-Supervised Representation Learning for Video Alignment and Analysis
WACV 2024
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
NIPS 2023
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
ICML 2023
Patch-Craft Self-Supervised Training for Correlated Image Denoising
CVPR 2023
Do Perceptually Aligned Gradients Imply Robustness?
ICML 2023
Denoising Diffusion Restoration Models
NIPS 2022
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
ICCV 2021
SNIPS: Solving Noisy Inverse Problems Stochastically
NIPS 2021
A Local Block Coordinate Descent Algorithm for the CSC Model
CVPR 2019
Rethinking the CSC Model for Natural Images
NIPS 2019
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
JMLR 2017
Convolutional Dictionary Learning via Local Processing
ICCV 2017