Maximum Likelihood Training of Score-Based Diffusion Models

22 January 2021

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

50 / 116 papers shown

Title
Riemannian Denoising Diffusion Probabilistic Models Z. Liu Wei Zhang Christof Schütte Tiejun Li DiffM 68 0 0 07 May 2025
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution Gen Li Yuchen Jiao 46 0 0 02 May 2025
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 44 0 0 02 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees Nishant Jain Xunpeng Huang Yian Ma Tong Zhang 36 0 0 02 May 2025
FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing Gaoxiang Cong Liang-Sheng Li Jiadong Pan Zhedong Zhang Amin Beheshti A. Hengel Yuankai Qi Qingming Huang 75 0 0 02 May 2025
Geometry in Style: 3D Stylization via Surface Normal Deformation Nam Anh Dinh Itai Lang Hyunwoo Kim Oded Stein Rana Hanocka 3DH 41 0 0 29 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 71 0 0 16 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 64 29 0 13 Mar 2025
Aligning Text to Image in Diffusion Models is Easier Than You Think J. Lee Byunghee Cha Jeongsol Kim Jong Chul Ye 52 0 0 11 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Ming-Yu Liu J. Zhu Qinsheng Zhang DiffM 47 0 0 03 Mar 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Mingyang Sun Pengxiang Ding Weinan Zhang Donglin Wang OT 78 0 0 24 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 93 0 0 13 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 81 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 51 0 0 09 Feb 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 62 0 0 04 Feb 2025
Visual Generation Without Guidance Huayu Chen Kai Jiang Kaiwen Zheng Jianfei Chen Hang Su J. Zhu 55 0 0 28 Jan 2025
Block Flow: Learning Straight Flow on Data Blocks Zibin Wang Zhiyuan Ouyang Xiangyun Zhang 31 0 0 20 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 52 2 0 13 Jan 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner Lorenz Richter Marcin Sendera Jarrid Rector-Brooks Nikolay Malkin OffRL 56 3 0 10 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 51 0 0 03 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 54 2 0 03 Jan 2025
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 49 2 0 03 Jan 2025
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing Gaoxiang Cong Jiadong Pan Liang-Sheng Li Yuankai Qi Yuxin Peng A. Hengel Jian Yang Qingming Huang 90 6 0 12 Dec 2024
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi L. Wang K. Zhou 26 4 0 28 Oct 2024
Conjuring Semantic Similarity Tian Yu Liu Stefano Soatto DiffM 27 0 0 21 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner TDI DiffM 75 4 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 29 0 0 16 Oct 2024
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective Xiangru Zhu Penglei Sun Yaoxian Song Yanghua Xiao Zhixu Li Chengyu Wang Jun Huang Bei Yang Xiaoxiao Xu EGVM 120 1 0 14 Oct 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Renhe Jiang Tianyu He Jiang Bian Renhe Jiang MedIm 58 4 0 07 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 18 6 0 06 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 29 0 0 04 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting S. H. Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 42 1 0 04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 33 3 0 04 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 87 2 0 02 Oct 2024
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 50 0 0 01 Sep 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 16 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 33 21 0 05 Aug 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 32 3 0 28 Jul 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 24 0 0 04 Jul 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 32 1 0 28 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy T. Feng Ricardo Baptista Katherine L. Bouman MedIm DiffM 40 3 0 18 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 60 24 0 31 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 72 6 0 29 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 42 2 0 27 May 2024
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You Zhiyu Zhu Hui Liu Junhui Hou VGen DiffM 23 23 0 24 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 39 0 0 20 May 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 54 5 0 08 Apr 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors Yazid Janati Alain Durmus Eric Moulines Jimmy Olsson DiffM 27 7 0 18 Mar 2024
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images Cristiana Tiago S. Snare Jurica Šprem K. Mcleod DiffM MedIm 28 9 0 07 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 41 6 0 03 Mar 2024