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Soft Diffusion: Score Matching for General Corruptions

12 September 2022

Papers citing "Soft Diffusion: Score Matching for General Corruptions"

50 / 83 papers shown

Title
Beyond Blur: A Fluid Perspective on Generative Diffusion Models Grzegorz Gruszczynski Michal Jan Wlodarczyk Jakub J Meixner Przemyslaw Musialski DiffM 20 0 0 20 Jun 2025
Ambient Diffusion Omni: Training Good Models with Bad Data Giannis Daras Adrian Rodriguez-Munoz Adam R. Klivans Antonio Torralba Constantinos Daskalakis 18 0 0 10 Jun 2025
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems Jeffrey Alido Tongyu Li Yu Sun Lei Tian DiffM MedIm 107 0 0 15 May 2025
Efficient Flow Matching using Latent Variables Anirban Samaddar Yixuan Sun Viktor Nilsson Sandeep Madireddy 108 0 0 07 May 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching Junn Yong Loo Michelle Adeline Julia Kaiwen Lau Fang Yu Leong Hwa Hui Tew Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan BDL 107 0 0 22 Apr 2025
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World Ankit Dhiman Manan Shah R. V. Babu 66 0 0 21 Apr 2025
GIViC: Generative Implicit Video Compression Ge Gao Siyue Teng Tianhao Peng Fan Zhang David Bull DiffM VGen 79 0 0 25 Mar 2025
Your Text Encoder Can Be An Object-Level Watermarking Controller Naresh Kumar Devulapally Mingzhen Huang Vishal Asnani S. Agarwal Siwei Lyu Vishnu Suresh Lokhande WaLM 488 0 0 15 Mar 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute Sotiris Anagnostidis Gregor Bachmann Yeongmin Kim Jonas Kohler Markos Georgopoulos A. Sanakoyeu Yuming Du Albert Pumarola Ali K. Thabet Edgar Schönfeld 135 1 0 27 Feb 2025
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Rui Xia Yanhua Cheng Yongxiang Tang Xiaocheng Liu Xialong Liu Lisong Wang Peng Jiang DiffM 104 1 0 03 Jan 2025
PQD: Post-training Quantization for Efficient Diffusion Models Jiaojiao Ye Zhen Wang Linnan Jiang MQ 77 0 0 03 Jan 2025
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation Jiwoong Park Yang Shen DiffM 98 0 0 26 Oct 2024
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 113 10 0 21 Oct 2024
Edge-preserving noise for diffusion models Jente Vandersanden Sascha Holl Xingchang Huang Gurprit Singh DiffM 119 2 0 02 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 122 65 0 30 Sep 2024
Particle-Filtering-based Latent Diffusion for Inverse Problems Amir Nazemi M. H. Sepanj Nicholas Pellegrino Chris Czarnecki Paul Fieguth DiffM 73 1 0 25 Aug 2024
Bayesian Conditioned Diffusion Models for Inverse Problems Alper Gungor Bahri Batuhan Bilecen Tolga Çukur DiffM 75 2 0 14 Jun 2024
Variational Flow Matching for Graph Generation Floor Eijkelboom Grigory Bartosh C. A. Naesseth Max Welling Jan-Willem van de Meent 102 18 0 07 Jun 2024
Self-Consistent Recursive Diffusion Bridge for Medical Image Translation Fuat Arslan Bilal Kabas Onat Dalmaz Muzaffer Özbey Tolga Çukur MedIm DiffM 83 13 0 10 May 2024
Deep MMD Gradient Flow without adversarial training Alexandre Galashov Valentin De Bortoli Arthur Gretton DiffM 76 9 0 10 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 128 44 0 29 Apr 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 133 16 0 19 Apr 2024
Efficient Denoising using Score Embedding in Score-based Diffusion Models Andrew S. Na William Gao Justin W.L. Wan DiffM 70 0 0 10 Apr 2024
Structure-Guided Adversarial Training of Diffusion Models Ling Yang Haotian Qian Zhilong Zhang Jingwei Liu Tengjiao Wang 89 12 0 27 Feb 2024
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline Haonan Wang Qianli Shen Yao Tong Yang Zhang Kenji Kawaguchi 122 32 0 07 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 108 41 0 01 Jan 2024
Diffusion-C: Unveiling the Generative Challenges of Diffusion Models through Corrupted Data Keywoong Bae Suan Lee Wookey Lee DiffM 51 1 0 14 Dec 2023
Compensation Sampling for Improved Convergence in Diffusion Models Hui Lu A. A. Salah Ronald Poppe 84 1 0 11 Dec 2023
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance Yuto Enyo Ko Nishino 3DV 87 3 0 07 Dec 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion Weitao Du Jiujiu Chen Xuecang Zhang Zhiming Ma Shengchao Liu DiffM 80 9 0 06 Dec 2023
Enhancing Diffusion Models with 3D Perspective Geometry Constraints Rishi Upadhyay Howard Zhang Yunhao Ba Ethan Yang Blake Gella Sicheng Jiang Alex Wong A. Kadambi 90 11 0 01 Dec 2023
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion Litu Rout Yujia Chen Abhishek Kumar Constantine Caramanis Sanjay Shakkottai Wen-Sheng Chu 148 39 0 01 Dec 2023
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations Delaram Pirhayatifard Taha Toghani Guha Balakrishnan César A. Uribe DiffM 88 1 0 27 Nov 2023
Graph Signal Diffusion Model for Collaborative Filtering Yunqin Zhu Chao Wang Qi Zhang Hui Xiong DiffM 97 11 0 15 Nov 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 125 13 0 30 Oct 2023
Generative Fractional Diffusion Models Gabriel Nobis Maximilian Springenberg Marco Aversa Michael Detzel Rembert Daems ... Tolga Birdal Manfred Opper Christoph Knochenhauer Luis Oala Wojciech Samek DiffM 76 6 0 26 Oct 2023
Neural Diffusion Models Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 116 10 0 12 Oct 2023
Stochastic interpolants with data-dependent couplings M. S. Albergo Mark Goldstein Nicholas M. Boffi Rajesh Ranganath Eric Vanden-Eijnden OT 109 34 0 05 Oct 2023
Sequential Data Generation with Groupwise Diffusion Process Sangyun Lee Gayoung Lee Hyunsung Kim Junho Kim Youngjung Uh DiffM 121 4 0 02 Oct 2023
Generalised Diffusion Probabilistic Scale-Spaces Pascal Peter DiffM 58 0 0 15 Sep 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 95 13 0 14 Sep 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Xingchao Liu Xiwen Zhang Jianzhu Ma Jian Peng Qiang Liu 191 223 0 12 Sep 2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation Zhuoxu Cui Congcong Liu Xiaohong Fan Chentao Cao Jing Cheng ... Haifeng Wang Yanjie Zhu Jianping Zhang Qiegen Liu Dong Liang DiffM 60 3 0 30 Aug 2023
Masked Diffusion as Self-supervised Representation Learner Zixuan Pan Jianxu Chen Yi Shi MedIm DiffM 77 10 0 10 Aug 2023
Image Denoising and the Generative Accumulation of Photons Alexander Krull H. Basevi Benjamin Salmon A. Zeug F. Muller Samuel Tonks Leela Muppala A. Leonardis DiffM 65 7 0 13 Jul 2023
Geometric Neural Diffusion Processes Emile Mathieu Vincent Dutordoir M. Hutchinson Valentin De Bortoli Yee Whye Teh Richard Turner DiffM 86 9 0 11 Jul 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models Litu Rout Negin Raoof Giannis Daras Constantine Caramanis A. Dimakis Sanjay Shakkottai DiffM 125 108 0 02 Jul 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 183 56 0 07 Jun 2023
Deep Classifier Mimicry without Data Access Steven Braun Martin Mundt Kristian Kersting DiffM 50 4 0 03 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 227 69 0 03 Jun 2023