Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

19 November 2022

Papers citing "Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models"

30 / 30 papers shown

Title
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling Xin Xie Dong Gong 154 1 0 01 Dec 2024
Solving Video Inverse Problems Using Image Diffusion Models Taesung Kwon Jong Chul Ye DiffM 101 3 0 04 Sep 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems Jiawei Zhang Jiaxin Zhuang Cheng Jin Gen Li Yuantao Gu DiffM 124 2 0 11 Jun 2024
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models Emmanuelle Bourigault Abdullah Hamdi Amir Jamaludin MedIm 105 2 0 30 Apr 2024
Regularization by Texts for Latent Diffusion Inverse Solvers Jeongsol Kim Geon Yeong Park Hyungjin Chung Jong Chul Ye AI4CE 138 16 0 27 Nov 2023
Brain Imaging Generation with Latent Diffusion Models W. H. Pinaya Petru-Daniel Tudosiu J. Dafflon P. F. D. Costa Virginia Fernandez P. Nachev Sebastien Ourselin M. Jorge Cardoso DiffM MedIm 146 304 0 15 Sep 2022
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images Dominik Jens Elias Waibel Ernst Rooell Bastian Rieck Raja Giryes Carsten Marr DiffM MedIm 58 41 0 30 Aug 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 136 472 0 02 Jun 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 291 846 0 27 Jan 2022
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data Anish Lahiri M. Klasky Jeffrey A. Fessler S. Ravishankar 46 26 0 23 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 502 15,788 0 20 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 124 355 0 09 Dec 2021
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu Zhifeng Kong Xudong Xu Liang Pan Dahua Lin DiffM BDL 259 123 0 07 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 112 533 0 15 Nov 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 111 427 0 08 Oct 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 157 724 0 06 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 96 339 0 03 Aug 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 271 7,958 0 11 May 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 120 527 0 08 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 269 748 0 02 Mar 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 171 673 0 22 Jan 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 358 6,586 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 739 18,364 0 19 Jun 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior Bo Zhou S. Kevin Zhou 160 155 0 11 Jan 2020
Point-Voxel CNN for Efficient 3D Deep Learning Zhijian Liu Haotian Tang Chengyue Wu Song Han 3DPC 135 674 0 08 Jul 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 75 850 0 21 Nov 2018
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 76 2,123 0 11 Nov 2016
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction Eunhee Kang Junhong Min J. C. Ye OOD MedIm 82 767 0 31 Oct 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 145 7,016 0 13 Aug 2016
Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network Hanming Zhang Liang Li Kai Qiao Linyuan Wang Bin Yan Lei Li Guoen Hu MedIm 64 98 0 29 Jul 2016