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Robust and interpretable blind image denoising via bias-free convolutional neural networks

13 June 2019

Papers citing "Robust and interpretable blind image denoising via bias-free convolutional neural networks"

50 / 70 papers shown

Title
Learning normalized image densities via dual score matching Florentin Guth Zahra Kadkhodaie Eero P. Simoncelli DiffM 86 0 0 05 Jun 2025
Large Language Models are Locally Linear Mappings James R. Golden 17 0 0 30 May 2025
Reconstruct Anything Model: a lightweight foundation model for computational imaging Matthieu Terris Samuel Hurault Maxime Song Julian Tachella MedIm DiffM 134 4 0 11 Mar 2025
Score-based 3D molecule generation with neural fields Matthieu Kirchmeyer Pedro H. O. Pinheiro Saeed Saremi DiffM 118 2 0 15 Jan 2025
Learning to Translate Noise for Robust Image Denoising Inju Ha Donghun Ryou Seonguk Seo Bohyung Han 143 0 0 06 Dec 2024
Video prediction using score-based conditional density estimation P. Fiquet Eero P. Simoncelli AI4TS 43 0 0 30 Oct 2024
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 115 3 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 77 0 0 16 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 79 1 0 04 Oct 2024
Equivariance-based self-supervised learning for audio signal recovery from clipped measurements Victor Sechaud Laurent Jacques Patrice Abry Julián Tachella SSL 33 3 0 03 Sep 2024
Approaching Deep Learning through the Spectral Dynamics of Weights David Yunis Kumar Kshitij Patel Samuel Wheeler Pedro H. P. Savarese Gal Vardi Karen Livescu Michael Maire Matthew R. Walter 99 3 0 21 Aug 2024
Lightweight Video Denoising Using a Classic Bayesian Backbone Clement Bled François Pitié 78 2 0 07 Aug 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 84 3 0 16 Jul 2024
Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation S. K. Shastri Philip Schniter 118 0 0 12 Jul 2024
Pivotal Auto-Encoder via Self-Normalizing ReLU Nelson Goldenstein Jeremias Sulam Yaniv Romano 54 2 0 23 Jun 2024
Transfer CLIP for Generalizable Image Denoising Junting Cheng Dong Liang Shan Tan VLM 89 14 0 22 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 126 2 0 05 Mar 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 74 0 0 23 Feb 2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models Christian Horvat J. Pfister DiffM 92 13 0 06 Feb 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 43 1 0 19 Dec 2023
Score-based generative models learn manifold-like structures with constrained mixing Wenliang Kevin Li Ben Moran DiffM 85 8 0 16 Nov 2023
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI Andrew Mao Sebastian Flassbeck Jakob Assländer 55 2 0 13 Nov 2023
A Scalable Training Strategy for Blind Multi-Distribution Noise Removal Kevin Zhang Sakshum Kulshrestha Christopher A. Metzler OOD 50 1 0 30 Oct 2023
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems Julian Tachella Marcelo Pereyra UQCV 64 8 0 18 Oct 2023
Generalization in diffusion models arises from geometry-adaptive harmonic representations Zahra Kadkhodaie Florentin Guth Eero P. Simoncelli Stéphane Mallat AI4CE DiffM 129 84 0 04 Oct 2023
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions N. P. Martins Y. Kalaidzidis M. Zerial Florian Jug MedIm 112 0 0 16 Aug 2023
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising Junting Cheng Tao Liu Shan Tan DiffM 84 14 0 09 Aug 2023
A signal processing interpretation of noise-reduction convolutional neural networks Luis A. Zavala-Mondragón Peter H. N. de With Fons van der Sommen 45 0 0 25 Jul 2023
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising C. Birnie M. Ravasi 68 9 0 13 Jul 2023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Moritz D Boehle Navdeeppal Singh Mario Fritz Bernt Schiele 145 27 0 19 Jun 2023
Normalization-Equivariant Neural Networks with Application to Image Denoising Sébastien Herbreteau E. Moebel Charles Kervrann 47 11 0 08 Jun 2023
A Rainbow in Deep Network Black Boxes Florentin Guth Brice Ménard G. Rochette S. Mallat 103 12 0 29 May 2023
Learning multi-scale local conditional probability models of images Zahra Kadkhodaie Florentin Guth S. Mallat Eero P. Simoncelli DiffM 103 19 0 06 Mar 2023
Closed-Loop Transcription via Convolutional Sparse Coding Xili Dai Kai Chen Shengbang Tong Jingyuan Zhang Xingjian Gao ... Yuexiang Zhai Xiaojun Yuan H. Shum L. Ni Yi Ma DiffM DRL 80 6 0 18 Feb 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction Changwoo Lee Xiao Hu Hun-Seok Kim 54 6 0 17 Feb 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 95 82 0 09 Jan 2023
Denoising Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 90 5 0 30 Nov 2022
Patch-Craft Self-Supervised Training for Correlated Image Denoising Gregory Vaksman Michael Elad 117 7 0 17 Nov 2022
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval Rohun Agrawal Oscar Leong 59 1 0 02 Nov 2022
Self-supervised Physics-based Denoising for Computed Tomography E. Zainulina A. Chernyavskiy Dmitry V. Dylov OOD 126 1 0 01 Nov 2022
Evaluating Unsupervised Denoising Requires Unsupervised Metrics A. Marcos-Morales M. Leibovich S. Mohan Joshua L. Vincent P. Haluai Mai Tan Peter A Crozier C. Fernandez‐Granda 33 3 0 11 Oct 2022
Scaling Laws For Deep Learning Based Image Reconstruction Tobit Klug Reinhard Heckel 106 13 0 27 Sep 2022
Video Restoration with a Deep Plug-and-Play Prior Antoine Monod J. Delon Matias Tassano Andrés Almansa 92 1 0 06 Sep 2022
Imaging with Equivariant Deep Learning Dongdong Chen Mike Davies Matthias Joachim Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella 99 32 0 05 Sep 2022
A Perceptually Optimized and Self-Calibrated Tone Mapping Operator Peibei Cao Chenyang Le Yuming Fang Kede Ma 35 2 0 18 Jun 2022
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery S. K. Shastri Rizwan Ahmad Christopher A. Metzler Philip Schniter 76 7 0 09 Jun 2022
Adversarial Distortion Learning for Medical Image Denoising Morteza Ghahremani Mohammad Khateri Alejandra Sierra Jussi Tohka MedIm 55 16 0 29 Apr 2022
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent Rita Fermanian Mikael Le Pendu C. Guillemot 73 7 0 29 Apr 2022
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising? Valéry Dewil Aranud Barral Gabriele Facciolo Pablo Arias 68 5 0 25 Apr 2022
Gabor is Enough: Interpretable Deep Denoising with a Gabor Synthesis Dictionary Prior Nikola Janjušević Amirhossein Khalilian-Gourtani Yao Wang BDL 21 7 0 23 Apr 2022