EquiReg: Equivariance Regularized Diffusion for Inverse Problems

29 May 2025

Papers citing "EquiReg: Equivariance Regularized Diffusion for Inverse Problems"

50 / 54 papers shown

Title
FaceLiVT: Face Recognition using Linear Vision Transformer with Structural Reparameterization For Mobile Device Novendra Setyawan Chi-Chia Sun Mao-Hsiu Hsu W. Kuo Jun-Wei Hsieh 96 0 0 12 Jun 2025
From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge Agnese Taluzzi Davide Gesualdi Riccardo Santambrogio Chiara Plizzari Francesca Palermo S. Mentasti Matteo Matteucci GNN 15 2 0 10 Jun 2025
Guided Diffusion Sampling on Function Spaces with Applications to PDEs Jiachen Yao Abbas Mammadov Julius Berner Gavin Kerrigan Jong Chul Ye Kamyar Azizzadenesheli A. Anandkumar DiffM 68 2 0 22 May 2025
STeP: A Framework for Solving Scientific Video Inverse Problems with Spatiotemporal Diffusion Priors Bingliang Zhang Zihui Wu Berthy Feng Yang Song Yisong Yue Katherine Bouman DiffM VGen 46 2 0 10 Apr 2025
Generative Latent Neural PDE Solver using Flow Matching Zijie Li Anthony Zhou Amir Barati Farimani DiffM AI4CE 126 2 0 28 Mar 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence Vasco Portilheiro Yan Zhang Sékou-Oumar Kaba 118 6 0 27 Mar 2025
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 72 10 0 21 Oct 2024
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 137 4 0 04 Oct 2024
Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution Guangyuan Li Chen Rao Juncheng Mo Zhanjie Zhang Wei Xing Lei Zhao MedIm 60 22 0 07 Apr 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance Xinyu Peng Ziyang Zheng Wenrui Dai Nuoqian Xiao Chenglin Li Junni Zou Hongkai Xiong DiffM 124 23 0 03 Feb 2024
Equivariant plug-and-play image reconstruction Matthieu Terris Thomas Moreau Nelly Pustelnik Julian Tachella 98 20 0 04 Dec 2023
Crystal Structure Prediction by Joint Equivariant Diffusion Rui Jiao Wen-bing Huang Peijia Lin Jiaqi Han Pin Chen Yutong Lu Yang Liu DiffM 71 70 0 30 Jul 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 125 98 0 23 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 77 8 0 05 Apr 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 177 4,146 1 10 Feb 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 97 2,386 0 19 Dec 2022
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model Yinhuai Wang Jiwen Yu Jian Zhang DiffM 113 458 0 01 Dec 2022
Solving Audio Inverse Problems with a Diffusion Model Eloi Moliner J. Lehtinen Vesa Valimaki DiffM 80 53 0 27 Oct 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 111 857 0 29 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 279 2,885 0 25 Aug 2022
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 67 170 0 10 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,898 0 26 Jul 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 118 471 0 02 Jun 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 127 618 0 31 Mar 2022
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion Hyungjin Chung Eunha Lee Jong Chul Ye DiffM MedIm 74 119 0 23 Mar 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 278 842 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 352 1,418 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 463 15,665 0 20 Dec 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 97 532 0 15 Nov 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 71 32 0 19 Oct 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 99 423 0 08 Oct 2021
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 117 453 0 19 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 87 339 0 03 Aug 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 67 684 0 10 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 241 7,933 0 11 May 2021
Explore Image Deblurring via Blur Kernel Space Phong Tran Anh Tran Quynh Phung Minh Hoai 60 75 0 01 Apr 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 113 1,033 0 19 Feb 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 350 6,551 0 26 Nov 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 500 2,444 0 18 Oct 2020
Fairwashing Explanations with Off-Manifold Detergent Christopher J. Anders Plamen Pasliev Ann-Kathrin Dombrowski K. Müller Pan Kessel FAtt FaML 55 97 0 20 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 669 18,276 0 19 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 153 696 0 18 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 258 1,161 0 16 Jun 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 120 323 0 25 Feb 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,954 0 12 Jul 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 596 10,590 0 12 Dec 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 77 561 0 30 May 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 95 977 0 22 Feb 2018
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 65 286 0 21 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 151 1,847 0 11 Apr 2017