Generative Modeling by Estimating Gradients of the Data Distribution

12 July 2019

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

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Title
Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning Yankai Li Mo Chen AI4CE 63 0 0 27 Feb 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation Sucheng Ren Qihang Yu Ju He Xiaohui Shen Alan Yuille Liang-Chieh Chen VGen 90 9 0 27 Feb 2025
Optimal Stochastic Trace Estimation in Generative Modeling Xinyang Liu Hengrong Du Wei Deng Ruqi Zhang AI4TS 59 0 0 26 Feb 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models Vu Tuan Truong Long Bao Le DiffM AAML 359 0 0 26 Feb 2025
On the Interpolation Effect of Score Smoothing Zhengdao Chen DiffM 83 0 0 26 Feb 2025
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators Alberto Foresti Giulio Franzese Pietro Michiardi 90 0 0 26 Feb 2025
Sample-efficient diffusion-based control of complex nonlinear systems Hongyi Chen Jingtao Ding Jianhai Shu Xinchun Yu Xiaojun Liang Yong Li Xiao-Ping Zhang 353 0 0 25 Feb 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 79 0 0 25 Feb 2025
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization Tonghan Wang Yanchen Jiang David C. Parkes 89 1 0 24 Feb 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang Niki van Stein Thomas Bäck M. Leeuwen DiffM 69 0 0 24 Feb 2025
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization Shiyu Wang Mariam Avagyan Yihan Shen Arnaud Lamy Tingran Wang S. Márka Z. Márka John N. Wright 44 0 0 24 Feb 2025
USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images Jiamu Wang Jin Tae Kwak MedIm 54 1 0 22 Feb 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min Lin Ye Wang DiffM TDI 185 45 0 21 Feb 2025
PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores Guangyi Wang Yuren Cai Lijiang Li Wei Peng Songzhi Su DiffM 59 0 0 21 Feb 2025
Text-to-Image Rectified Flow as Plug-and-Play Priors Xiaofeng Yang Cheng Chen Xulei Yang Fayao Liu Guosheng Lin DiffM 77 7 0 21 Feb 2025
Generalizable Humanoid Manipulation with 3D Diffusion Policies Yanjie Ze Zixuan Chen Wenhao Wang Tianyi Chen Xialin He Ying Yuan Xue Bin Peng Jiajun Wu VGen 70 0 0 20 Feb 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories Jean-Baptiste Bouvier Kanghyun Ryu Kartik Nagpal Qiayuan Liao Koushil Sreenath Negar Mehr 116 2 0 20 Feb 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 96 2 0 20 Feb 2025
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression Jaemoon Lee Xiao Li Liangji Zhu Sanjay Ranka Anand Rangarajan DiffM 94 1 0 18 Feb 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu Xiaojun Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 83 4 0 18 Feb 2025
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation Sihyun Yu Meera Hahn Dan Kondratyuk Jinwoo Shin Agrim Gupta José Lezama Irfan Essa David A. Ross Jonathan Huang DiffM VGen 80 0 0 18 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng Xinsong Zhang 56 0 0 17 Feb 2025
SayAnything: Audio-Driven Lip Synchronization with Conditional Video Diffusion Junxian Ma Shiwen Wang Jian Yang Junyi Hu Jian Liang Guosheng Lin Jingbo Chen Kai Li Yu Meng DiffM VGen 70 3 0 17 Feb 2025
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering Suparshva Jain Amit Sangroya Lovekesh Vig DiffM 77 1 0 17 Feb 2025
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model Weilin Lin Nanjun Zhou Yijiao Wang Jianze Li Hui Xiong Li Liu AAML DiffM 292 0 0 17 Feb 2025
Single-Step Consistent Diffusion Samplers Pascal Jutras-Dubé Patrick Pynadath Ruqi Zhang DiffM 85 0 0 17 Feb 2025
Hyperspherical Energy Transformer with Recurrent Depth Yunzhe Hu Difan Zou Dong Xu 53 1 0 17 Feb 2025
CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection zhe Huang Shuo Wang Yanjie Wang Lei Wang DiffM 249 0 0 17 Feb 2025
Diffusion Models without Classifier-free Guidance Zhicong Tang Jianmin Bao Dong Chen Baining Guo VLM 64 3 0 17 Feb 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Yunshui Li Zhitang Chen Farzan Farnia DiffM 79 1 0 15 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 120 0 0 13 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 131 0 0 13 Feb 2025
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization T. Pham Zhang Kang Ji Woo Hong Xuran Zheng Chang D. Yoo 91 0 0 13 Feb 2025
DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations Anis Bourou Saranga Kingkor Mahanta Thomas Boyer Valérie Mezger Auguste Genovesio MedIm 61 0 0 12 Feb 2025
Diffusion Suction Grasping with Large-Scale Parcel Dataset Ding-Tao Huang Xinyi He Debei Hua Dongfang Yu En-Te Lin Long Zeng DiffM 69 0 0 11 Feb 2025
Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms Krunoslav Lehman Pavasovic Jakob Verbeek Giulio Biroli Marc Mézard 73 0 0 11 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers Ao Li Wei Fang Hongbo Zhao Le Lu Ge Yang Minfeng Xu DiffM 83 0 0 11 Feb 2025
Consistency Training with Physical Constraints Che-Chia Chang Chen-Yang Dai Te-Sheng Lin M. Lai Chieh-Hsin Lai DiffM 57 0 0 11 Feb 2025
Diffusion Models for Computational Neuroimaging: A Survey Haokai Zhao Haowei Lou Lina Yao Wei Peng Ehsan Adeli K. Pohl Yu Zhang MedIm 57 2 0 10 Feb 2025
Dual Caption Preference Optimization for Diffusion Models Amir Saeidi Yiran Luo Agneet Chatterjee Shamanthak Hegde Bimsara Pathiraja Yezhou Yang Chitta Baral DiffM 68 0 0 09 Feb 2025
Noise is an Efficient Learner for Zero-Shot Vision-Language Models Raza Imam Asif Hanif Jian Zhang Khaled Waleed Dawoud Yova Kementchedjhieva Mohammad Yaqub VLM 71 1 0 09 Feb 2025
Beyond and Free from Diffusion: Invertible Guided Consistency Training Chia-Hong Hsu Shiu-hong Kao Randall Balestriero 3DV 89 0 0 08 Feb 2025
Physics-Conditioned Diffusion Models for Lattice Gauge Theory Qianteng Zhu Gert Aarts Wei Wang K. Zhou Lei Wang 89 1 0 08 Feb 2025
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Yueying Zou Peipei Li Zekun Li Huaibo Huang Xing Cui Xuannan Liu Chenghanyu Zhang Ran He DeLMO 134 3 0 07 Feb 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Yiming Huang Tolga Birdal DiffM 86 0 0 06 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 94 8 0 05 Feb 2025
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models Jinhao Liang Jacob K Christopher Sven Koenig Ferdinando Fioretto 99 1 0 05 Feb 2025
A Periodic Bayesian Flow for Material Generation Hanlin Wu Yuxuan Song Jingjing Gong Ziyao Cao Y. Ouyang Jianbing Zhang Hao Zhou Wei-Ying Ma Jingjing Liu DiffM 102 3 0 04 Feb 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 71 3 0 03 Feb 2025
BD-Diff: Generative Diffusion Model for Image Deblurring on Unknown Domains with Blur-Decoupled Learning Junhao Cheng Wei-Ting Chen Xi Lu Ming-Hsuan Yang DiffM 77 0 0 03 Feb 2025