Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

1 December 2023

Yujia Chen

Papers citing "Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion"

31 / 31 papers shown

Title
HOFAR: High-Order Augmentation of Flow Autoregressive Transformers Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao-quan Song Mingda Wan 75 1 0 11 Mar 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu Xiyan Cai X. Zhang Xingtong Ge Dailan He Ming Sun Jingjing Liu Y. Zhang Jian Li Yan Wang DiffM 117 1 0 31 Jan 2025
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes Tim Broedermann Christos Sakaridis Yuqian Fu Luc Van Gool 57 23 0 28 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 33 0 0 08 Jan 2025
Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Shayan Mohajer Hamidi En-Hui Yang MedIm 46 0 0 06 Jan 2025
Solving Inverse Problems via Diffusion Optimal Control Henry Li Marcus Pereira 64 0 0 21 Dec 2024
Diffusing Differentiable Representations Yash Savani Marc Finzi J. Zico Kolter DiffM 74 0 0 09 Dec 2024
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Maitreya Patel Song Wen Dimitris N. Metaxas Yezhou Yang DiffM 107 3 0 27 Nov 2024
Constrained Diffusion with Trust Sampling William Huang Yifeng Jiang Tom Van Wouwe C. Karen Liu 27 3 0 17 Nov 2024
Taming Rectified Flow for Inversion and Editing Jiangshan Wang Junfu Pu Zhongang Qi Jiayi Guo Yue Ma Nisha Huang Yuxin Chen Xiu Li Ying Shan 39 22 0 07 Nov 2024
Constrained Posterior Sampling: Time Series Generation with Hard Constraints Sai Shankar Narasimhan Shubhankar Agarwal Litu Rout Sanjay Shakkottai Sandeep P. Chinchali DiffM AI4TS 24 0 0 16 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 57 0 0 15 Oct 2024
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 28 2 0 04 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 39 31 0 30 Sep 2024
Particle-Filtering-based Latent Diffusion for Inverse Problems Amir Nazemi M. H. Sepanj Nicholas Pellegrino Chris Czarnecki Paul Fieguth DiffM 45 0 0 25 Aug 2024
Active Diffusion Subsampling Oisin Nolan Tristan S. W. Stevens Wessel L. van Nierop Ruud J. G. van Sloun DiffM MedIm 30 2 0 20 Jun 2024
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control Litu Rout Yujia Chen Nataniel Ruiz Abhishek Kumar C. Caramanis Sanjay Shakkottai Wen-Sheng Chu DiffM 32 23 0 27 May 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Andrew Zhang DiffM 41 5 0 25 Mar 2024
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers Tongda Xu Ziran Zhu Jian Li Dailan He Yuanyuan Wang ... Ning Li Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang DiffM 30 4 0 09 Feb 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 37 20 0 03 Feb 2024
Prompt-tuning latent diffusion models for inverse problems Hyungjin Chung Jong Chul Ye P. Milanfar M. Delbracio DiffM 22 38 0 02 Oct 2023
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models Zalan Fabian Berk Tınaz Mahdi Soltanolkotabi DiffM 17 5 0 12 Sep 2023
Denoising Diffusion Models for Plug-and-Play Image Restoration Yuanzhi Zhu K. Zhang Jingyun Liang Jiezhang Cao B. Wen Radu Timofte Luc Van Gool DiffM 58 193 0 15 May 2023
Diffusion-based Image Translation using Disentangled Style and Content Representation Gihyun Kwon Jong Chul Ye DiffM 147 149 0 30 Sep 2022
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
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 774 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 211 1,330 0 24 Jan 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 189 536 0 08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018