Noise2Noise: Learning Image Restoration without Clean Data

12 March 2018

Papers citing "Noise2Noise: Learning Image Restoration without Clean Data"

50 / 175 papers shown

Title
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference Haoyang Pei Ding Xia Xiang Xu William Moore Yao Wang Hersh Chandarana Li Feng 34 0 0 09 May 2025
Score-based Self-supervised MRI Denoising Jiachen Tu Yaokun Shi Fan Lam DiffM 55 2 0 08 May 2025
SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal Wenyang Liu Jianjun Gao Kim-Hui Yap 40 0 0 08 May 2025
TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image Enhancement Yi Li Zhiyuan Zhang Jiangnan Xia Jianghan Cheng Qilong Wu Junwei Li Yibin Tian Hui Kong DiffM 50 0 0 07 May 2025
StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data Yuxuan Mu Hung Yu Ling Yi Shi Ismael Baira Ojeda Pengcheng Xi Chang Shu F. Zinno Xue Bin Peng 52 0 0 06 May 2025
Regression is all you need for medical image translation Sebastian Rassmann David Kügler Christian Ewert Martin Reuter DiffM MedIm 189 0 0 04 May 2025
Sim-to-Real: An Unsupervised Noise Layer for Screen-Camera Watermarking Robustness Yufeng Wu Xin Liao Baowei Wang Han Fang Xiaoshuai Wu Guiling Wang 54 0 0 26 Apr 2025
Universal Collection of Euclidean Invariants between Pairs of Position-Orientations Gijs Bellaard B. Smets R. Duits 64 0 0 04 Apr 2025
Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising Xiangbin Wei 147 0 0 24 Feb 2025
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration Kang Liao Zongsheng Yue Zhouxia Wang Chen Change Loy 95 3 0 20 Feb 2025
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single-Image Denoising Huaqiu Li Wang Zhang Xiaowan Hu Tao Jiang Zikang Chen Haoqian Wang DiffM 210 0 0 10 Feb 2025
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play Ching-Chun Chang Fan-Yun Chen Shih-Hong Gu Kai Gao Hanrui Wang Isao Echizen AAML 172 0 0 31 Jan 2025
Bayesian Despeckling of Structured Sources Ali Zafari Shirin Jalali 44 0 0 21 Jan 2025
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising Tong Li Lizhi Wang Zhiyuan Xu Lin Zhu Wanxuan Lu Hua Huang 98 2 0 21 Dec 2024
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Eduard Zamfir Zongwei Wu Nancy Mehta Yuedong Tan Danda Pani Paudel Yulun Zhang Radu Timofte MoE 193 1 0 27 Nov 2024
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume Xiwei Liu Mohamad Kassab Min Xu Qirong Ho 200 0 0 22 Nov 2024
Linear Attention Based Deep Nonlocal Means Filtering for Multiplicative Noise Removal Xiao Siyao Huang Libing Zhang Shunsheng 44 0 0 06 Jul 2024
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping Junsheng Zhou Baorui Ma Yu-Shen Liu Zhizhong Han 3DPC 44 9 0 04 Jul 2024
Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network Rui Li M. Kudryashev Artur Yakimovich 32 1 0 03 Jul 2024
Burst Image Super-Resolution with Base Frame Selection Sanghyun Kim Min Jung Lee Woohyeok Kim Deunsol Jung Jaesung Rim Sunghyun Cho Minsu Cho SupR 36 1 0 25 Jun 2024
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation Zhenyu Li Shariq Farooq Bhat Peter Wonka 3DV MDE 33 7 0 10 Jun 2024
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors A. Levy E. R. Chan Sara Fridovich-Keil Frédéric Poitevin Ellen D. Zhong Gordon Wetzstein DiffM 75 3 0 06 Jun 2024
Non-Uniform Exposure Imaging via Neuromorphic Shutter Control Mingyuan Lin Jian Liu Chi Zhang Zibo Zhao Chu He Lei Yu 40 0 0 22 Apr 2024
Masked and Shuffled Blind Spot Denoising for Real-World Images Hamadi Chihaoui Paolo Favaro 34 5 0 15 Apr 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 73 1 0 08 Apr 2024
GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration Youssef Mansour Reinhard Heckel 40 0 0 31 Mar 2024
Denoising Monte Carlo Renders With Diffusion Models Vaibhav Vavilala R. Vasanth David A. Forsyth DiffM 23 1 0 30 Mar 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 64 12 0 13 Mar 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 43 0 0 23 Feb 2024
Radar Fields: An Extension of Radiance Fields to SAR T. Ehret Roger Marí Dawa Derksen Nicolas Gasnier Gabriele Facciolo AI4CE 21 5 0 20 Dec 2023
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 18 1 0 19 Dec 2023
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 34 3 0 12 Dec 2023
Prompt-In-Prompt Learning for Universal Image Restoration Zilong Li Yiming Lei Chenglong Ma Junping Zhang Hongming Shan VLM 39 25 0 08 Dec 2023
Neural Network Methods for Radiation Detectors and Imaging S. Lin S. Ning H. Zhu T. Zhou C. L. Morris S. Clayton M. Cherukara R. T. Chen Z. Wang AI4CE 32 5 0 09 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 53 5 0 01 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 53 1 0 11 Oct 2023
Robust Average Networks for Monte Carlo Denoising Javor Kalojanov Kimball Thurston 25 0 0 06 Oct 2023
Score Mismatching for Generative Modeling Senmao Ye Fei Liu DiffM 28 8 0 20 Sep 2023
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising Yujin Wang Lingen Li Tianfan Xue Liang Feng DiffM 27 4 0 19 Sep 2023
Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising Nadja Gruber Johannes Schwab Noémie Debroux Nicolas Papadakis Markus Haltmeier 29 0 0 19 Sep 2023
Recurrent Self-Supervised Video Denoising with Denser Receptive Field Zichun Wang Yulun Zhang Debing Zhang Ying Fu 42 8 0 07 Aug 2023
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 33 5 0 05 Aug 2023
Random Sub-Samples Generation for Self-Supervised Real Image Denoising Yizhong Pan Xiao Liu Xiangyu Liao Yuanzhouhan Cao Chao Ren DiffM 24 26 0 31 Jul 2023
SVNR: Spatially-variant Noise Removal with Denoising Diffusion Naama Pearl Ya. A. Brodsky Dana Berman A. Zomet Alex Rav-Acha Daniel Cohen-Or Dani Lischinski DiffM 23 5 0 28 Jun 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping Baorui Ma Yu-Shen Liu Zhizhong Han 3DPC 33 23 0 02 Jun 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras Kulin Shah Y. Dagan Aravind Gollakota A. Dimakis Adam R. Klivans DiffM 45 67 0 30 May 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 24 3 0 12 May 2023
RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset Huanjing Yue Cong Cao Lei Liao Jingyu Yang ViT 56 6 0 01 May 2023
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning Takumi Nakagawa Y. Sanada Hiroki Waida Yuhui Zhang Yuichiro Wada K. Takanashi Tomonori Yamada Takafumi Kanamori DiffM 19 5 0 19 Apr 2023