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
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning Linjiajie Fang Ruoxue Liu Jing Zhang Wenjia Wang Bing-Yi Jing OffRL 110 7 0 31 May 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion Nicolas Dufour Victor Besnier Vicky Kalogeiton David Picard DiffM 101 2 0 30 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models Fengfan Zhou Qianyu Zhou Hefei Ling Xuequan Lu AAML 98 3 0 27 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 102 2 0 27 May 2024
Categorical Flow Matching on Statistical Manifolds Chaoran Cheng Jiahan Li Jian-wei Peng Ge Liu 100 11 0 26 May 2024
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You Zhiyu Zhu Hui Liu Junhui Hou VGen DiffM 84 24 0 24 May 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Seyedmorteza Sadat Jakob Buhmann Derek Bradley Otmar Hilliges Romann M. Weber 90 9 0 23 May 2024
AdjointDEIS: Efficient Gradients for Diffusion Models Zander W. Blasingame Chen Liu DiffM 86 5 0 23 May 2024
Curriculum Direct Preference Optimization for Diffusion and Consistency Models Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu N. Sebe Mubarak Shah EGVM 120 7 0 22 May 2024
Design Editing for Offline Model-based Optimization Ye Yuan Youyuan Zhang Can Chen Haolun Wu Zixuan Li Jianmo Li James J. Clark Xue Liu 92 5 0 22 May 2024
Images that Sound: Composing Images and Sounds on a Single Canvas Ziyang Chen Daniel Geng Andrew Owens DiffM 85 9 0 20 May 2024
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method Mian Zou Baosheng Yu Yibing Zhan Siwei Lyu Kede Ma CVBM 103 4 0 14 May 2024
A score-based particle method for homogeneous Landau equation Yan Huang Li Wang OT 99 5 0 08 May 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation Xin Ding Member Ieee Yongwei Wang Kao Zhang F. I. Z. Jane Wang DiffM 90 5 0 06 May 2024
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 147 10 0 22 Apr 2024
RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion Jaidev Shriram Alex Trevithick Lingjie Liu Ravi Ramamoorthi DiffM 3DGS 128 58 0 10 Apr 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 103 13 0 26 Mar 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Zhang DiffM 89 5 0 25 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 116 6 0 15 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 96 2 0 05 Mar 2024
Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement Jinhong He Minglong Xue Zhipu Liu Chengyun Song DiffM 76 3 0 05 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation Hongjian Liu Qingsong Xie Zhijie Deng Chen Chen Shixiang Tang Fueyang Fu Zheng-Jun Zha H. Lu Zheng-jun Zha 75 7 0 03 Mar 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 121 97 0 27 Feb 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 58 0 0 11 Jan 2024
Meta ControlNet: Enhancing Task Adaptation via Meta Learning Junjie Yang Jinze Zhao Peihao Wang Zhangyang Wang Yingbin Liang 86 3 0 03 Dec 2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information Joschka Birk E. Buhmann Cedric Ewen Gregor Kasieczka David Shih 79 12 0 30 Nov 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 154 12 0 19 Oct 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 86 8 0 25 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models Qinpeng Cui Xinyi Zhang Zongqing Lu Qingmin Liao DiffM 61 6 0 12 Sep 2023
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping Tianhao Wu Mingdong Wu Jiyao Zhang Yunchong Gan Hao Dong 107 21 0 12 Sep 2023
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction Qinghui Liu E. Fuster-García I. T. Hovden Donatas Sederevičius Karoline Skogen ... Till Schellhorn P. Brandal A. Bjørnerud K. Emblem Kyrre Eeg Emblem 85 3 0 11 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 87 3 0 03 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 146 31 0 27 Aug 2023
Deep Generative Models for Physiological Signals: A Systematic Literature Review Nour Neifar Afef Mdhaffar A. Ben-Hamadou M. Jmaiel MedIm 76 5 0 12 Jul 2023
Counting Guidance for High Fidelity Text-to-Image Synthesis Wonjune Kang Kevin Galim H. Koo Nam Ik Cho DiffM 89 10 0 30 Jun 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 75 33 0 28 May 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 108 43 0 24 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 77 4 0 21 May 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 111 31 0 15 Mar 2023
Score-based Diffusion Models in Function Space Jae Hyun Lim Nikola B. Kovachki Ricardo Baptista Christopher Beckham Kamyar Azizzadenesheli ... Karsten Kreis Jan Kautz Christopher Pal Arash Vahdat Anima Anandkumar DiffM 154 47 0 14 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 78 6 0 13 Feb 2023
A Text-guided Protein Design Framework Shengchao Liu Yanjing Li Zhuoxinran Li A. Gitter Yutao Zhu ... Arvind Ramanathan Chaowei Xiao Jian Tang Hongyu Guo Anima Anandkumar 103 64 0 09 Feb 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 80 0 0 20 Jan 2023
SINE: SINgle Image Editing with Text-to-Image Diffusion Models Zhixing Zhang Ligong Han Arna Ghosh Dimitris N. Metaxas Jian Ren DiffM 109 159 0 08 Dec 2022
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 102 417 0 17 May 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 57 154 0 29 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 569 10,555 0 12 Dec 2018
Learning deep kernels for exponential family densities W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 50 74 0 20 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 259 5,392 0 28 Sep 2018
Learning Implicit Generative Models with the Method of Learned Moments Suman V. Ravuri S. Mohamed Mihaela Rosca Oriol Vinyals GAN 65 28 0 28 Jun 2018