Maximum Likelihood Training of Score-Based Diffusion Models

22 January 2021

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

50 / 427 papers shown

Title
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser Qingyuan Cai Xuecai Hu Saihui Hou Li Yao Yongzhen Huang DiffM 21 0 0 07 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Bo-wen Li DiffM 25 2 0 04 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
Training Unbiased Diffusion Models From Biased Dataset Yeongmin Kim Byeonghu Na Minsang Park Joonho Jang Dongjun Kim Wanmo Kang Il-Chul Moon 27 19 0 02 Mar 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 49 3 0 01 Mar 2024
Retrieval-Augmented Generation for AI-Generated Content: A Survey Penghao Zhao Hailin Zhang Qinhan Yu Zhengren Wang Yunteng Geng Fangcheng Fu Ling Yang Wentao Zhang Jie Jiang Bin Cui 3DV 110 220 0 29 Feb 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Structure-Guided Adversarial Training of Diffusion Models Ling Yang Haotian Qian Zhilong Zhang Jingwei Liu Bin Cui 23 10 0 27 Feb 2024
Label-Noise Robust Diffusion Models Byeonghu Na Yeongmin Kim Heesun Bae Jung Hyun Lee Seho Kwon Wanmo Kang Il-Chul Moon NoLa DiffM 50 8 0 27 Feb 2024
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis Willi Menapace Aliaksandr Siarohin Ivan Skorokhodov Ekaterina Deyneka Tsai-Shien Chen ... Yuwei Fang A. Stoliar Elisa Ricci Jian Ren Sergey Tulyakov VGen 38 56 0 22 Feb 2024
Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu Sen Zhang Yingjie Wang Xinmei Tian Dacheng Tao 18 9 0 19 Feb 2024
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model Xiangyu Zhang Daijiao Liu Hexin Liu Qiquan Zhang Hanyu Meng Leibny Paola García Chng Eng Siong Lina Yao DiffM 13 2 0 16 Feb 2024
Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization Hongrui Chen Lexing Ying 24 11 0 12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 36 23 0 12 Feb 2024
Scalable Diffusion Models with State Space Backbone Zhengcong Fei Mingyuan Fan Changqian Yu Junshi Huang 62 33 0 08 Feb 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 74 11 0 08 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 64 17 0 07 Feb 2024
Guidance with Spherical Gaussian Constraint for Conditional Diffusion Lingxiao Yang Shutong Ding Yifan Cai Jingyi Yu Jingya Wang Ye-ling Shi DiffM 51 35 0 05 Feb 2024
Bass Accompaniment Generation via Latent Diffusion Marco Pasini M. Grachten Stefan Lattner 46 11 0 02 Feb 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization Marien Renaud Jean Prost Arthur Leclaire Nicolas Papadakis DiffM 44 7 0 01 Feb 2024
Diffusion-based Graph Generative Methods Hongyang Chen Can Xu Lingyu Zheng Qiang Zhang Xuemin Lin DiffM MedIm 20 0 0 28 Jan 2024
Contractive Diffusion Probabilistic Models Wenpin Tang Hanyang Zhao DiffM 36 12 0 23 Jan 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers Nanye Ma Mark Goldstein M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden Saining Xie DiffM 27 163 0 16 Jan 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 20 0 0 11 Jan 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling Wei Deng Yu Chen Nicole Tianjiao Yang Hengrong Du Qi Feng Ricky T. Q. Chen 21 7 0 06 Jan 2024
Energy based diffusion generator for efficient sampling of Boltzmann distributions Yan Wang Ling Guo Hao Wu Tao Zhou DiffM 34 3 0 04 Jan 2024
Improving Diffusion-Based Image Synthesis with Context Prediction Ling Yang Jingwei Liu Shenda Hong Zhilong Zhang Zhilin Huang Zheming Cai Wentao Zhang Bin Cui DiffM 38 33 0 04 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 24 34 0 01 Jan 2024
Diffusion Model with Perceptual Loss Shanchuan Lin Xiao Yang DiffM 23 15 0 30 Dec 2023
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 24 6 0 27 Dec 2023
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications Mengyao Lyu Yuhong Yang Haiwen Hong Hui Chen Xuan Jin Yuan He Hui Xue Jungong Han Guiguang Ding DiffM 21 55 0 26 Dec 2023
Diffusion Models With Learned Adaptive Noise S. Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 26 8 0 20 Dec 2023
Bayesian ECG reconstruction using denoising diffusion generative models Gabriel Victorino Cardoso Lisa Bedin J. Duchâteau Rémi Dubois Eric Moulines DiffM 27 2 0 18 Dec 2023
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge Conghan Yue Zhengwei Peng Junlong Ma Shiyan Du Pengxu Wei Dongyu Zhang DiffM 32 12 0 16 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 30 2 0 12 Dec 2023
Equivariant Flow Matching with Hybrid Probability Transport Yuxuan Song Jingjing Gong Minkai Xu Ziyao Cao Yanyan Lan Stefano Ermon Hao Zhou Wei-Ying Ma DiffM 17 45 0 12 Dec 2023
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models Shengguang Wu Mei Yuan Qi Su DiffM 13 0 0 12 Dec 2023
A Note on the Convergence of Denoising Diffusion Probabilistic Models S. Mbacke Omar Rivasplata DiffM 19 5 0 10 Dec 2023
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning Sangwoong Yoon Dohyun Kwon Himchan Hwang Yung-Kyun Noh Frank C. Park 25 0 0 06 Dec 2023
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking Jiapeng Tang Angela Dai Yinyu Nie Lev Markhasin Justus Thies Matthias Niessner DiffM 34 10 0 02 Dec 2023
Bayesian Imaging for Radio Interferometry with Score-Based Priors Noé Dia M. J. Yantovski-Barth Alexandre Adam Micah Bowles Pablo Lemos A. Scaife Y. Hezaveh Laurence Perreault Levasseur 17 4 0 29 Nov 2023
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors Alexandre Adam Connor Stone Connor Bottrell Ronan Legin Y. Hezaveh Laurence Perreault Levasseur 16 3 0 29 Nov 2023
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation Teo Deveney Jan Stanczuk L. Kreusser Chris Budd Carola-Bibiane Schönlieb DiffM 20 5 0 27 Nov 2023
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning Chaofeng Chen Annan Wang Haoning Wu Liang Liao Wenxiu Sun Qiong Yan Weisi Lin 23 9 0 27 Nov 2023
Improved Sample Complexity Bounds for Diffusion Model Training Shivam Gupta Aditya Parulekar Eric Price Zhiyang Xun 19 2 0 23 Nov 2023
Diffusion Model Alignment Using Direct Preference Optimization Bram Wallace Meihua Dang Rafael Rafailov Linqi Zhou Aaron Lou Senthil Purushwalkam Stefano Ermon Caiming Xiong Shafiq R. Joty Nikhil Naik EGVM 33 224 0 21 Nov 2023
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models Yuanbin Cheng Koji Yamashita Jim Follum Nanpeng Yu AAML 26 2 0 13 Nov 2023
Energy-Calibrated VAE with Test Time Free Lunch Yihong Luo Si-Huang Qiu Xingjian Tao Yujun Cai Jing Tang 11 4 0 07 Nov 2023
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models Shengzhe Zhou Zejian Lee Sheng Zhang Lefan Hou Changyuan Yang Guang Yang Zhiyuan Yang Lingyun Sun DiffM 33 0 0 07 Nov 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 16 9 0 30 Oct 2023