Generative Modeling by Estimating Gradients of the Data Distribution

12 July 2019

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

50 / 1,005 papers shown

Title
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Marianne Arriola Aaron Gokaslan Justin T Chiu Zhihan Yang Zhixuan Qi Jiaqi Han Subham Sekhar Sahoo Volodymyr Kuleshov DiffM 82 6 0 12 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 79 0 0 12 Mar 2025
Reconstruct Anything Model: a lightweight foundation model for computational imaging Matthieu Terris Samuel Hurault Maxime Song Julian Tachella MedIm DiffM 83 2 0 11 Mar 2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation Tianyu Chen Yasi Zhang Ziyi Wang Ying Nian Wu Oscar Leong Mingyuan Zhou DiffM 66 2 0 10 Mar 2025
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories Huiyang Shao Xin Xia Yanting Yang Yuxi Ren Xing Wang Xuefeng Xiao 59 1 0 10 Mar 2025
Generative Video Bi-flow Chen Liu Tobias Ritschel DiffM VGen 60 0 0 09 Mar 2025
Text-to-3D Generation using Jensen-Shannon Score Distillation Khoi Do Binh-Son Hua DiffM 59 0 0 08 Mar 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models Bin Wu Wuxuan Shi Jinqiao Wang Mang Ye CLL VLM 63 0 0 06 Mar 2025
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials Chaitanya K. Joshi Xiang Fu Yi-Lun Liao Vahe Gharakhanyan Benjamin Kurt Miller Anuroop Sriram Zachary W. Ulissi DiffM 90 7 0 05 Mar 2025
Fine-Grained Controllable Apparel Showcase Image Generation via Garment-Centric Outpainting Rong Zhang Jun Wang Zhiwen Zuo Jianfeng Dong W. Li Chi-Yin Wang Wenyuan Xu Xun Wang DiffM 76 0 0 03 Mar 2025
Split Gibbs Discrete Diffusion Posterior Sampling Wenda Chu Zihui Wu Yifan Chen Yang Song Yisong Yue 44 2 0 03 Mar 2025
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 79 1 0 03 Mar 2025
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty Yao Wang Mingxuan Cui Arthur Jiang 86 0 0 03 Mar 2025
GenAnalysis: Joint Shape Analysis by Learning Man-Made Shape Generators with Deformation Regularizations Yuezhi Yang Haitao Yang Kiyohiro Nakayama Xiangru Huang Leonidas Guibas Qixing Huang 44 0 0 02 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang Yair Schiff Subham Sekhar Sahoo Volodymyr Kuleshov DiffM 68 3 0 01 Mar 2025
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance Xin Ye Burhaneddin Yaman Sheng Cheng Feng Tao Abhirup Mallik Liu Ren DiffM 75 2 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 8 0 27 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
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
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 79 0 0 25 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
Text-to-Image Rectified Flow as Plug-and-Play Priors Xiaofeng Yang Cheng Chen Xulei Yang Fayao Liu Guosheng Lin DiffM 75 7 0 21 Feb 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 94 2 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 95 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 3 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
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
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
Hyperspherical Energy Transformer with Recurrent Depth Yunzhe Hu Difan Zou Dong Xu 53 1 0 17 Feb 2025
Single-Step Consistent Diffusion Samplers Pascal Jutras-Dubé Patrick Pynadath Ruqi Zhang DiffM 83 0 0 17 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng Xinsong Zhang 56 0 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
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Yunshui Li Zhitang Chen Farzan Farnia DiffM 75 1 0 15 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 129 0 0 13 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 120 0 0 13 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
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
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
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
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
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
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper] Andreas Habring Alexander Falk Thomas Pock 67 0 0 03 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
Regularized Langevin Dynamics for Combinatorial Optimization Shengyu Feng Yiming Yang 88 1 0 01 Feb 2025