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Solving Inverse Problems in Protein Space Using Diffusion-Based Priors

6 June 2024

Papers citing "Solving Inverse Problems in Protein Space Using Diffusion-Based Priors"

31 / 31 papers shown

Title
Dual Ascent Diffusion for Inverse Problems Minseo Kim Axel Levy Gordon Wetzstein MedIm 64 0 0 23 May 2025
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities Yi Zhou Yilai Li Jing Yuan Quanquan Gu 59 1 0 11 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 111 62 0 30 Sep 2024
Provable Probabilistic Imaging using Score-Based Generative Priors Yu Sun Zihui Wu Yifan Chen Berthy Feng Katherine Bouman DiffM 58 33 0 16 Oct 2023
State of the Art on Diffusion Models for Visual Computing Ryan Po Wang Yifan Vladislav Golyanik Kfir Aberman Jonathan T. Barron ... Matthias Nießner Bjorn Ommer Christian Theobalt Peter Wonka Gordon Wetzstein 82 110 0 11 Oct 2023
Denoising Diffusion Models for Plug-and-Play Image Restoration Yuanzhi Zhu Peng Sun Christos Sakaridis Jingyun Liang Bihan Wen Radu Timofte Luc Van Gool DiffM 108 219 0 15 May 2023
EigenFold: Generative Protein Structure Prediction with Diffusion Models Bowen Jing Ezra Erives Peter Pao-Huang Gabriele Corso Bonnie Berger Tommi Jaakkola DiffM 97 74 0 05 Apr 2023
SE(3) diffusion model with application to protein backbone generation Jason Yim Brian L. Trippe Valentin De Bortoli Emile Mathieu Arnaud Doucet Regina Barzilay Tommi Jaakkola DiffM 63 207 0 05 Feb 2023
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 162 1,528 0 05 Oct 2022
Protein structure generation via folding diffusion Kevin E. Wu Kevin Kaichuang Yang Rianne van den Berg James Zou Alex X. Lu Ava P. Amini DiffM 90 201 0 30 Sep 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
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem Brian L. Trippe Jason Yim D. Tischer D. Baker Tamara Broderick Regina Barzilay Tommi Jaakkola DiffM 74 237 0 08 Jun 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
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 236 174 0 26 May 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 277 172 0 06 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 275 842 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
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 117 354 0 09 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 95 532 0 15 Nov 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 99 423 0 08 Oct 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 130 723 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 87 339 0 03 Aug 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 241 7,857 0 11 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 70 635 0 30 Apr 2021
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 440 10,591 0 17 Feb 2020
Noise2Noise: Learning Image Restoration without Clean Data J. Lehtinen Jacob Munkberg J. Hasselgren S. Laine Tero Karras M. Aittala Timo Aila 86 1,608 0 12 Mar 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 176 5,917 0 10 Jul 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 152 810 0 09 Mar 2017
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring Seungjun Nah Tae Hyun Kim Kyoung Mu Lee 143 1,979 0 07 Dec 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 142 7,007 0 13 Aug 2016
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 239 4,059 0 09 Jun 2014