Ambient Diffusion: Learning Clean Distributions from Corrupted Data

30 May 2023

Papers citing "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"

50 / 53 papers shown

Title
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 34 0 0 06 May 2025
A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction Zhenyu Yu Mohd Yamani Inda Idris Pei Wang DiffM 34 0 0 16 Apr 2025
DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models Basar Demir Yikang Liu Xiao Chen Eric Z. Chen Lin Zhao Boris Mailhe Terrence Chen Shanhui Sun DiffM MedIm 42 0 0 31 Mar 2025
Double Blind Imaging with Generative Modeling Brett Levac A. Jalal Kannan Ramchandran Jonathan I. Tamir DiffM MedIm 54 0 0 27 Mar 2025
Motion Synthesis with Sparse and Flexible Keyjoint Control I. Hwang Jinseok Bae Donggeun Lim Y. Kim 53 0 0 18 Mar 2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation Tianyu Chen Yasi Zhang Z. Wang Ying Nian Wu Oscar Leong Mingyuan Zhou DiffM 42 0 0 10 Mar 2025
Diffusion Stabilizer Policy for Automated Surgical Robot Manipulations Chonlam Ho Jianshu Hu H. Wang Qi Dou Yutong Ban MedIm 63 1 0 03 Mar 2025
Benchmarking Self-Supervised Methods for Accelerated MRI Reconstruction Andrew Wang Mike Davies OOD SSL 106 0 0 19 Feb 2025
Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets Haoye Lu Qifan Wu Yaoliang Yu DiffM 46 0 0 08 Feb 2025
A Self-supervised Diffusion Bridge for MRI Reconstruction Harry Gao Weijie Gan Yuyang Hu Hongyu An Ulugbek S. Kamilov DiffM MedIm 24 1 0 08 Jan 2025
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion Giannis Daras Yeshwanth Cherapanamjeri Constantinos Daskalakis DiffM 23 3 0 05 Nov 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention C. L. P. Chen Daochang Liu M. Shah Chang Xu 40 3 0 29 Oct 2024
Investigating Memorization in Video Diffusion Models C. L. P. Chen Enhuai Liu Daochang Liu M. Shah Chang Xu VGen DiffM 66 1 0 29 Oct 2024
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation Jiwoong Park Yang Shen DiffM 20 0 0 26 Oct 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models Giannis Daras Weili Nie Karsten Kreis A. Dimakis Morteza Mardani Nikola B. Kovachki Arash Vahdat DiffM 33 5 0 21 Oct 2024
Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method Weimin Bai Weiheng Tang E. Ye Siyi Chen Wenzheng Chen H. Sun DiffM 16 0 0 15 Oct 2024
A Survey on Diffusion Models for Inverse Problems Giannis Daras Hyungjin Chung Chieh-Hsin Lai Yuki Mitsufuji Jong Chul Ye P. Milanfar Alexandros G. Dimakis M. Delbracio MedIm 33 31 0 30 Sep 2024
The Star Geometry of Critic-Based Regularizer Learning Oscar Leong Eliza O'Reilly Yong Sheng Soh AAML 29 0 0 29 Aug 2024
Detecting, Explaining, and Mitigating Memorization in Diffusion Models Yuxin Wen Yuchen Liu Chen Chen Lingjuan Lyu 23 51 0 31 Jul 2024
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models Chunsan Hong Tae-Hyun Oh Minhyuk Sung VLM EGVM 24 0 0 24 Jul 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 24 7 0 22 Jul 2024
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems Hyungjin Chung Jong Chul Ye DiffM 32 6 0 15 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 60 6 0 07 Jul 2024
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations Weimin Bai Yifei Wang Wenzheng Chen He Sun 30 7 0 01 Jul 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs Abhimanyu Hans Yuxin Wen Neel Jain John Kirchenbauer Hamid Kazemi ... Siddharth Singh Gowthami Somepalli Jonas Geiping A. Bhatele Tom Goldstein 28 29 0 14 Jun 2024
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks Xiaoyu Wu Jiaru Zhang Yang Hua Bohan Lyu Hao Wang Tao Song Haibing Guan DiffM 34 0 0 30 May 2024
Learning Diffusion Priors from Observations by Expectation Maximization François Rozet Gérome Andry F. Lanusse Gilles Louppe DiffM 35 15 0 22 May 2024
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration Opher Bar Nathan Deborah Levy T. Treibitz Dan Rosenbaum 16 3 0 21 Mar 2024
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data Giannis Daras Alexandros G. Dimakis Constantinos Daskalakis 33 20 0 20 Mar 2024
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention Jie Ren Yaxin Li Shenglai Zeng Han Xu Lingjuan Lyu Yue Xing Jiliang Tang 25 25 0 17 Mar 2024
Perspective-Equivariant Imaging: an Unsupervised Framework for Multispectral Pansharpening Andrew Wang Mike Davies 14 3 0 14 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 48 9 0 13 Mar 2024
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation Nhat M. Hoang Kehong Gong Chuan Guo Michael Bi Mi DiffM 19 7 0 20 Jan 2024
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation Tong Xie Haoyu Li Andrew Bai Cho-Jui Hsieh TDI 17 2 0 17 Jan 2024
Taming Mode Collapse in Score Distillation for Text-to-3D Generation Peihao Wang Dejia Xu Zhiwen Fan Dilin Wang Sreyas Mohan ... Rakesh Ranjan Yilei Li Qiang Liu Zhangyang Wang Vikas Chandra DiffM 17 11 0 31 Dec 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 38 0 0 11 Oct 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 14 6 0 09 Sep 2023
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction Riccardo Barbano Alexander Denker Hyungjin Chung Tae Hoon Roh Simon Arrdige Peter Maass Bangti Jin J. C. Ye MedIm 14 6 0 28 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 14 4 0 05 Aug 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 11 2 0 31 Jul 2023
MissDiff: Training Diffusion Models on Tabular Data with Missing Values Yidong Ouyang Liyan Xie Chongxuan Li Guang Cheng DiffM 15 22 0 02 Jul 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 13 50 0 07 Jun 2023
GSURE-Based Diffusion Model Training with Corrupted Data Bahjat Kawar Noam Elata T. Michaeli Michael Elad DiffM 18 15 0 22 May 2023
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data Asad Aali Marius Arvinte Sidharth Kumar Jonathan I. Tamir DiffM MedIm 26 26 0 02 May 2023
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 123 245 0 22 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 55 105 0 12 Sep 2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction Zhuoxu Cui Chentao Cao Shaonan Liu Qingyong Zhu Jing Cheng Haifeng Wang Yanjie Zhu Dong Liang DiffM MedIm 25 36 0 02 Sep 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 202 770 0 27 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021