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Maximum Likelihood Training of Score-Based Diffusion Models

Neural Information Processing Systems (NeurIPS), 2021

22 January 2021

Papers citing "Maximum Likelihood Training of Score-Based Diffusion Models"

50 / 516 papers shown

Title
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Xue Liu Tianyu He Jiang Bian Renhe Jiang MedIm 728 12 0 07 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 225 0 0 06 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 292 1 0 04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral FrameworkInternational Conference on Learning Representations (ICLR), 2024 Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 287 26 0 04 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 463 8 0 04 Oct 2024
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting Siyang Li Yize Chen Hui Xiong DiffM AI4TS 223 1 0 03 Oct 2024
Forte : Finding Outliers with Representation Typicality EstimationInternational Conference on Learning Representations (ICLR), 2024 Debargha Ganguly Warren Morningstar A. Yu Vipin Chaudhary OODD 236 4 0 02 Oct 2024
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models Shivam Kumar Yun Yang Lizhen Lin 230 1 0 02 Oct 2024
Adaptive teachers for amortized samplersInternational Conference on Learning Representations (ICLR), 2024 Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 901 15 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 322 139 0 30 Sep 2024
DeBaRA: Denoising-Based 3D Room Arrangement GenerationNeural Information Processing Systems (NeurIPS), 2024 Léopold Maillard Nicolas Sereyjol-Garros Tom Durand Maks Ovsjanikov DiffM 3DV 299 11 0 26 Sep 2024
Schrödinger bridge based deep conditional generative learning Hanwen Huang DiffM 187 1 0 25 Sep 2024
TFG: Unified Training-Free Guidance for Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024 Haotian Ye Haowei Lin Jiaqi Han Minkai Xu Sheng Liu Yitao Liang Jianzhu Ma James Zou Stefano Ermon 172 53 0 24 Sep 2024
D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic ManipulationConference on Robot Learning (CoRL), 2024 Songlin Wei Haoran Geng Jiayi Chen Congyue Deng Wenbo Cui Chengyang Zhao Xiaomeng Fang Leonidas Guibas He Wang MDE 377 15 0 22 Sep 2024
What does guidance do? A fine-grained analysis in a simple settingNeural Information Processing Systems (NeurIPS), 2024 Muthu Chidambaram Khashayar Gatmiry Sitan Chen Holden Lee Jianfeng Lu 181 30 0 19 Sep 2024
InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion Models Yan Zheng Lemeng Wu DiffM MDE 134 1 0 18 Sep 2024
RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models Başak Melis Öcal Maxim Tatarchenko Sezer Karaoglu Theo Gevers DiffM 285 0 0 16 Sep 2024
Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning Hanyang Zhao Haoxian Chen Ji Zhang David D. Yao Wenpin Tang 292 11 0 12 Sep 2024
What happens to diffusion model likelihood when your model is conditional? Mattias Cross Anton Ragni DiffM 285 0 0 10 Sep 2024
TERD: A Unified Framework for Safeguarding Diffusion Models Against BackdoorsInternational Conference on Machine Learning (ICML), 2024 Yichuan Mo Hui Huang Mingjie Li Ang Li Yisen Wang AAML DiffM 216 24 0 09 Sep 2024
Reward-Directed Score-Based Diffusion Models via q-Learning Ningyuan Chen Jiale Zha X. Zhou DiffM 225 8 0 07 Sep 2024
Neural Entropy Akhil Premkumar DiffM 398 3 0 05 Sep 2024
Generating Physical Dynamics under PriorsInternational Conference on Learning Representations (ICLR), 2024 Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 392 3 0 01 Sep 2024
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate Paul Jeha Will Grathwohl Michael Riis Andersen Carl Henrik Ek J. Frellsen DiffM 264 5 0 22 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2024 V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 326 40 0 06 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 260 49 0 05 Aug 2024
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory Xiaoyan Xing Vincent Tao Hu J. H. Metzen Konrad Groh Sezer Karaoglu Theo Gevers 179 7 0 29 Jul 2024
White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging Yui Lo Yuqian Chen Fan Zhang Dongnan Liu L. Zekelman Suheyla Cetin Karayumak Yogesh Rathi Weidong Cai L. O’Donnell MedIm 171 3 0 28 Jul 2024
Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics Naichen Shi Hao Yan Shenghan Guo Raed Al Kontar DiffM AI4CE 170 1 0 25 Jul 2024
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review Masatoshi Uehara Yulai Zhao Tommaso Biancalani Sergey Levine 284 54 0 18 Jul 2024
Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking Zhiyuan Ma Guoli Jia Biqing Qi Bowen Zhou WIGM 380 17 0 18 Jul 2024
Base Models for Parabolic Partial Differential Equations Xingzi Xu Ali Hasan Jie Ding Vahid Tarokh 185 2 0 17 Jul 2024
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models Qinyu Yang Haoxin Chen Yong Zhang Menghan Xia Xiaodong Cun Zhixun Su Ying Shan DiffM 195 3 0 14 Jul 2024
Several questions of visual generation in 2024 Shuyang Gu 198 2 0 11 Jul 2024
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation Yinghua Yao Yuangang Pan Jing Li Ivor Tsang Xin Yao 287 10 0 05 Jul 2024
Speed-accuracy relations for diffusion models: Wisdom from nonequilibrium thermodynamics and optimal transport Kotaro Ikeda Tomoya Uda Daisuke Okanohara Sosuke Ito DiffM 318 2 0 05 Jul 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 198 2 0 04 Jul 2024
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency Ling Yang Zixiang Zhang Zhilong Zhang Xingchao Liu Minkai Xu Wentao Zhang Chenlin Meng Stefano Ermon Bin Cui 217 62 0 02 Jul 2024
Posterior Sampling with Denoising Oracles via Tilted Transport Joan Bruna Jiequn Han DiffM MedIm 211 11 0 30 Jun 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 339 1 0 28 Jun 2024
Towards diffusion models for large-scale sea-ice modelling Tobias S. Finn Charlotte Durand A. Farchi Marc Bocquet J. Brajard 298 2 0 26 Jun 2024
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification Xianlong Wang Shengshan Hu Yechao Zhang Ziqi Zhou Leo Yu Zhang Peng Xu Wei Wan Hai Jin AAML 302 5 0 21 Jun 2024
Neural Residual Diffusion Models for Deep Scalable Vision GenerationNeural Information Processing Systems (NeurIPS), 2024 Zhiyuan Ma Liangliang Zhao Biqing Qi Bowen Zhou DiffM 389 7 0 19 Jun 2024
Evaluating the design space of diffusion-based generative modelsNeural Information Processing Systems (NeurIPS), 2024 Yuqing Wang Ye He Molei Tao DiffM 339 17 0 18 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng Ricardo Baptista Katherine Bouman MedIm DiffM 386 8 0 18 Jun 2024
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality Luan Thanh Trinh T. Hamagami DiffM 225 13 0 17 Jun 2024
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models Changjiang Li Ren Pang Bochuan Cao Jinghui Chen Fenglong Ma Shouling Ji Ting Wang DiffM 161 4 0 14 Jun 2024
Understanding Hallucinations in Diffusion Models through Mode Interpolation Sumukh K. Aithal Pratyush Maini Zachary Chase Lipton J. Zico Kolter DiffM 347 60 0 13 Jun 2024
Operator-Informed Score Matching for Markov Diffusion Models Zheyang Shen Huihui Wang Marina Riabiz Chris J. Oates DiffM 376 0 0 13 Jun 2024
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models Benjamin Biggs Arjun Seshadri Yang Zou Achin Jain Aditya Golatkar Yusheng Xie Alessandro Achille Ashwin Swaminathan Stefano Soatto MoMe DiffM 222 21 0 12 Jun 2024

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Maximum Likelihood Training of Score-Based Diffusion Models

Papers citing "Maximum Likelihood Training of Score-Based Diffusion Models"