Generative Modeling by Estimating Gradients of the Data Distribution

12 July 2019

Papers citing "Generative Modeling by Estimating Gradients of the Data Distribution"

50 / 238 papers shown

Title
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 104 0 0 22 Oct 2024
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT Liam Moroy Guillaume Bourmaud Frédéric Champagnat Jean-François Giovannelli DiffM MedIm 80 0 0 21 Oct 2024
Solvation Free Energies from Neural Thermodynamic Integration Bálint Máté François Fleuret Tristan Bereau 53 1 0 21 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye Jiahui Gao Shansan Gong Lin Zheng Xin Jiang Zhiyu Li Dianbo Sui DiffM LRM 138 23 0 18 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner DiffM TDI 100 6 0 17 Oct 2024
Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi Alessandro Favero Noam Itzhak Levi Matthieu Wyart DiffM 82 5 0 17 Oct 2024
How to Backdoor Consistency Models? Chengen Wang Murat Kantarcioglu DiffM AAML 370 1 0 14 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 111 4 0 13 Oct 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models Xiaoxiao He Ligong Han Quan Dao Song Wen Minhao Bai ... Hongdong Li Junzhou Huang Faez Ahmed Akash Srivastava Dimitris Metaxas DiffM SyDa 122 5 0 10 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Sihang Li Congcong Wen Hui Lin Xiang Wang 108 3 0 09 Oct 2024
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion Enrico Ventura Beatrice Achilli Gianluigi Silvestri Carlo Lucibello L. Ambrogioni DiffM 73 8 0 08 Oct 2024
Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin Zhicheng Sun Ningyuan Li Kun Xu K. Xu ... Nan Zhuang Quzhe Huang Yang Song Yadong Mu Zhouchen Lin VGen 124 78 0 08 Oct 2024
A noise-corrected Langevin algorithm and sampling by half-denoising Aapo Hyvärinen DiffM 61 1 0 08 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Biwei Huang Yi-An Ma Zhen Zhang 76 1 0 08 Oct 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Xue Liu Tianyu He Jiang Bian Renhe Jiang MedIm 218 4 0 07 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting Soon Hoe Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 83 2 0 04 Oct 2024
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 114 4 0 04 Oct 2024
ControlAR: Controllable Image Generation with Autoregressive Models Zongming Li Tianheng Cheng Shoufa Chen Peize Sun Haocheng Shen Longjin Ran Xiaoxin Chen Wenyu Liu Xinggang Wang DiffM 194 19 0 03 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 94 5 0 03 Oct 2024
Edge-preserving noise for diffusion models Jente Vandersanden Sascha Holl Xingchang Huang Gurprit Singh DiffM 75 2 0 02 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha Shiqi Yang Masato Ishii Mengjie Zhao Christian Simon Muhammad Jehanzeb Mirza Dong Gong Lina Yao Shusuke Takahashi Yuki Mitsufuji DiffM 110 2 0 01 Oct 2024
Neural Differential Appearance Equations Chen Liu Tobias Ritschel 59 0 0 23 Sep 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions Weifeng Lin Xinyu Wei Renrui Zhang Le Zhuo Shitian Zhao ... Junlin Xie Junlin Xie Yu Qiao Peng Gao Hongsheng Li MLLM DiffM 134 13 0 23 Sep 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling Mohammad R. Rezaei Rahul G. Krishnan Milos R. Popovic M. Lankarany DiffM 66 0 0 22 Sep 2024
Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion Bishoy Gerges Barbara Bazzana Nicolò Botteghi Youssef Aboudorra Antonio Franchi DiffM 102 1 0 20 Sep 2024
Partial Distribution Matching via Partial Wasserstein Adversarial Networks Zi-Ming Wang Nan Xue Ling Lei Rebecka Jörnsten Gui-Song Xia OOD 161 0 0 16 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling Vivek Oommen Aniruddha Bora Zhen Zhang George Karniadakis DiffM 96 17 0 13 Sep 2024
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement Jia-Wei Liao Winston Wang Tzu-Sian Wang Li-Xuan Peng Ju-Hsuan Weng Cheng-Fu Chou Jun-Cheng Chen DiffM 90 2 0 10 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jiaqiang Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 129 0 0 09 Sep 2024
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation Jiaxin Cheng Zixu Zhao Tong He Tianjun Xiao Yicong Zhou Zheng Zhang DiffM 88 0 0 07 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 98 3 0 03 Sep 2024
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 104 1 0 01 Sep 2024
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach Mian Zou Baosheng Yu Yibing Zhan Siwei Lyu Kede Ma CVBM 106 2 0 29 Aug 2024
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation Xiaojuan Wang Boyang Zhou Brian L. Curless Ira Kemelmacher-Shlizerman Aleksander Holynski Steven M. Seitz DiffM 75 16 0 27 Aug 2024
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models Jean-Marie Lemercier Eloi Moliner Simon Welker Vesa Valimaki Timo Gerkmann 105 3 0 14 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 75 5 0 06 Aug 2024
$Denoising L\évy Probabilistic Models$ Denoising L\évy Probabilistic Models Dario Shariatian Umut Simsekli Alain Durmus DiffM 61 3 0 26 Jul 2024
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation Jiwook Kim Seonho Lee Jaeyo Shin Jiho Choi Hyunjung Shim DiffM 77 0 0 16 Jul 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models Lei Ren Haiteng Wang Yang Tang Yang Tang Chunhua Yang AI4TS AI4CE 105 5 0 16 Jul 2024
Single Image Rolling Shutter Removal with Diffusion Models Zhanglei Yang Haipeng Li Mingbo Hong Chen-Lin Zhang Shuaicheng Liu Shuaicheng Liu DiffM 60 4 0 03 Jul 2024
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model Cong Cao Huanjing Yue Xin Liu Jingyu Yang DiffM VGen 87 1 0 02 Jul 2024
EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor Generation Tianyu Wei Shanmin Pang Qi Guo Yizhuo Ma Yihao Huang Ming-Ming Cheng Qing Guo 344 2 0 22 Jun 2024
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales Peter Manshausen Y. Cohen Jaideep Pathak Jaideep Pathak Piyush Garg Morteza Mardani K. Kashinath Simon Byrne Noah D. Brenowitz Noah Brenowitz 107 13 0 19 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng Ricardo Baptista Katherine Bouman MedIm DiffM 98 3 0 18 Jun 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh Reza Shirkavand Shangqian Gao Heng Huang DiffM VLM 130 4 0 17 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 118 39 0 17 Jun 2024
Operator-Informed Score Matching for Markov Diffusion Models Zheyang Shen Huihui Wang Marina Riabiz Chris J. Oates DiffM 113 0 0 13 Jun 2024
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 86 1 0 03 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Erdun Gao Eric P. Xing Yuejie Chi Kun Zhang 86 5 0 01 Jun 2024
Information Theoretic Text-to-Image Alignment Chao Wang Giulio Franzese A. Finamore Massimo Gallo Pietro Michiardi 110 0 0 31 May 2024