Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models

27 May 2025

Papers citing "Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models"

31 / 31 papers shown

Title
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models Gen Li Yuling Yan DiffM 69 20 0 03 Jan 2025
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models Hengkang Wang Xu Zhang Taihui Li Yuxiang Wan Tiancong Chen Ju Sun DiffM 52 16 0 27 May 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 86 15 0 13 Mar 2024
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models Luhuan Wu Brian L. Trippe C. A. Naesseth David M. Blei John P. Cunningham DiffM 60 88 0 30 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 58 60 0 15 Jun 2023
Implicit Diffusion Models for Continuous Super-Resolution Sicheng Gao Xuhui Liu Bo-Wen Zeng Sheng Xu Yanjing Li Xiaonan Luo Jianzhuang Liu Xiantong Zhen Baochang Zhang DiffM 83 224 0 29 Mar 2023
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution Shuyao Shang Zhengyang Shan Guangxing Liu LunQian Wang XingHua Wang Zekai Zhang Jingling Zhang DiffM 59 88 0 15 Mar 2023
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model Yinhuai Wang Jiwen Yu Jian Zhang DiffM 73 437 0 01 Dec 2022
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems Hyungjin Chung Jeongsol Kim Sehui Kim J. C. Ye DiffM 70 105 0 19 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 111 576 0 02 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 84 810 0 29 Sep 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 72 444 0 02 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 132 1,377 0 02 Jun 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 245 809 0 27 Jan 2022
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 62 270 0 05 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 441 1,617 0 10 Nov 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 73 335 0 03 Aug 2021
Explore Image Deblurring via Blur Kernel Space Phong Tran Anh Tran Quynh Phung Minh Hoai 36 75 0 01 Apr 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 262 6,293 0 26 Nov 2020
Plug-and-Play Image Restoration with Deep Denoiser Prior Peng Sun Yawei Li W. Zuo Lei Zhang Luc Van Gool Radu Timofte DiffM SupR 63 792 0 31 Aug 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 289 17,550 0 19 Jun 2020
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Zhaoqiang Liu Jonathan Scarlett 61 40 0 28 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 163 3,803 0 12 Jul 2019
Deep Compressed Sensing Yan Wu Mihaela Rosca Timothy Lillicrap GAN 62 164 0 16 May 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 36 101 0 24 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 502 10,500 0 12 Dec 2018
Modeling Sparse Deviations for Compressed Sensing using Generative Models Manik Dhar Aditya Grover Stefano Ermon 34 79 0 04 Jul 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 270 11,610 0 11 Jan 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 106 1,013 0 07 Dec 2017
The Perception-Distortion Tradeoff Yochai Blau T. Michaeli SupR 114 807 0 16 Nov 2017
A Deep Learning Approach to Structured Signal Recovery Ali Mousavi Ankit B. Patel Richard G. Baraniuk 39 441 0 17 Aug 2015