Diffusion models as plug-and-play priors

17 June 2022

Nikolay Malkin

Papers citing "Diffusion models as plug-and-play priors"

43 / 43 papers shown

Title
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu Sili Huang Z. Yang Shengchao Hu Li Shen H. Chen Lichao Sun Yi-Ju Chang Dacheng Tao OffRL 103 0 0 03 May 2025
ShowMak3r: Compositional TV Show Reconstruction S. Kim Seunguk Do Jaesik Park VGen 36 0 0 28 Apr 2025
Text-to-Image Rectified Flow as Plug-and-Play Priors Xiaofeng Yang Cheng Chen Xulei Yang Fayao Liu Guosheng Lin DiffM 68 7 0 21 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li Jinpei Guo Runzhong Wang H. Zha Junchi Yan 50 4 0 05 Feb 2025
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT Matt Y. Cheung Sophia Zorek Tucker J. Netherton Laurence E. Court Sadeer Al-Kindi Ashok Veeraraghavan Guha Balakrishnan MedIm 34 0 0 04 Feb 2025
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention Maps Andrey Palaev Adil Mehmood Khan S. M. Ahsan Kazmi DiffM 48 0 0 23 Jan 2025
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis Hyojun Go Byeongjun Park Jiho Jang Jin-Young Kim Soonwoo Kwon Changick Kim 3DGS 111 2 0 25 Nov 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 2024
SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps Jakub Gregorek Lazaros Nalpantidis 3DGS 35 3 0 16 Sep 2024
TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Splatting Manipulation Chaofan Luo Donglin Di Xun Yang Yongjia Ma Zhou Xue Chen Wei Yebin Liu 3DGS 32 9 0 02 Jul 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng Ricardo Baptista Katherine L. Bouman MedIm DiffM 40 3 0 18 Jun 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 70 31 0 17 Jun 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems Jiawei Zhang Jiaxin Zhuang Cheng Jin Gen Li Yuantao Gu DiffM 71 1 0 11 Jun 2024
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems Ryo Yonetani 39 1 0 05 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 60 24 0 31 May 2024
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models Qinghe Wang Baolu Li Xiaomin Li Bing Cao Liqian Ma Huchuan Lu Xu Jia DiffM 42 6 0 24 Apr 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 62 1 0 08 Apr 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
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 56 9 0 13 Mar 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 74 11 0 08 Feb 2024
Bayesian Imaging for Radio Interferometry with Score-Based Priors Noé Dia M. J. Yantovski-Barth Alexandre Adam Micah Bowles Pablo Lemos A. Scaife Y. Hezaveh Laurence Perreault Levasseur 17 4 0 29 Nov 2023
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features Chenfeng Xu Huan Ling Sanja Fidler Or Litany 8 14 0 07 Nov 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 20 44 0 21 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 19 12 0 10 Jul 2023
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation Minghui Hu Jianbin Zheng Daqing Liu Chuanxia Zheng Chaoyue Wang Dacheng Tao Tat-Jen Cham DiffM 25 9 0 01 Jun 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 24 3 0 12 May 2023
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models Shan Zhong Zhongzhan Huang Wushao Wen Jinghui Qin Liang Lin 24 40 0 09 May 2023
Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images Jiatao Gu Qingzhe Gao Shuangfei Zhai Baoquan Chen Lingjie Liu J. Susskind 28 29 0 13 Apr 2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion Sauradip Nag Xiatian Zhu Jiankang Deng Yi-Zhe Song Tao Xiang DiffM VGen 25 21 0 27 Mar 2023
ReVersion: Diffusion-Based Relation Inversion from Images Ziqi Huang Tianxing Wu Yuming Jiang Kelvin C. K. Chan Ziwei Liu 25 65 0 23 Mar 2023
Text-driven Visual Synthesis with Latent Diffusion Prior Tingbo Liao Songwei Ge Yiran Xu Yao-Chih Lee Badour Albahar Jia-Bin Huang DiffM 28 6 0 16 Feb 2023
Universal Guidance for Diffusion Models Arpit Bansal Hong-Min Chu Avi Schwarzschild Soumyadip Sengupta Micah Goldblum Jonas Geiping Tom Goldstein VLM 37 242 0 14 Feb 2023
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation Haochen Wang Xiaodan Du Jiahao Li Raymond A. Yeh Gregory Shakhnarovich DiffM 43 527 0 01 Dec 2022
Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors R. Burgert Kanchana Ranasinghe Xiang Li Michael S. Ryoo DiffM VLM 27 37 0 23 Nov 2022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models Ajay Jain Amber Xie Pieter Abbeel DiffM 27 89 0 21 Nov 2022
DiffusionDet: Diffusion Model for Object Detection Shoufa Chen Pei Sun Yibing Song Ping Luo 44 442 0 17 Nov 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 60 0 07 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 47 2,307 0 29 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,300 0 02 Sep 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 195 417 0 16 May 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 513 0 06 Dec 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018