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
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 21 10 0 28 Oct 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 101 15 0 26 Oct 2023
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise Zhenkai Zhang Krista A. Ehinger Tom Drummond DiffM 36 0 0 26 Oct 2023
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution Aaron Lou Chenlin Meng Stefano Ermon DiffM 24 63 0 25 Oct 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 24 72 0 20 Oct 2023
A Survey on Video Diffusion Models Zhen Xing Qijun Feng Haoran Chen Qi Dai Hang-Rui Hu Hang Xu Zuxuan Wu Yu-Gang Jiang EGVM VGen 55 116 0 16 Oct 2023
Neural Diffusion Models Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 24 6 0 12 Oct 2023
Generative Modeling with Phase Stochastic Bridges Tianrong Chen Jiatao Gu Laurent Dinh Evangelos A. Theodorou J. Susskind Shuangfei Zhai DiffM 25 13 0 11 Oct 2023
Imitation Learning from Purified Demonstration Yunke Wang Minjing Dong Bo Du Chang Xu 31 1 0 11 Oct 2023
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE Marius Arvinte Cory Cornelius Jason Martin N. Himayat DiffM 44 3 0 10 Oct 2023
AnoDODE: Anomaly Detection with Diffusion ODE Xianyao Hu Congming Jin MedIm DiffM 13 1 0 10 Oct 2023
Generative Diffusion From An Action Principle Akhil Premkumar DiffM 19 4 0 06 Oct 2023
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference Simian Luo Yiqin Tan Longbo Huang Jian Li Hang Zhao DiffM 22 426 0 06 Oct 2023
Stochastic interpolants with data-dependent couplings M. S. Albergo Mark Goldstein Nicholas M. Boffi Rajesh Ranganath Eric Vanden-Eijnden OT 30 28 0 05 Oct 2023
Multimarginal generative modeling with stochastic interpolants M. S. Albergo Nicholas M. Boffi Michael Lindsey Eric Vanden-Eijnden 30 9 0 05 Oct 2023
Fast, Expressive SE $(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space Erik J. Bekkers Sharvaree P. Vadgama Rob D. Hesselink P. A. V. D. Linden David W. Romero 13 24 0 04 Oct 2023
Generalization in diffusion models arises from geometry-adaptive harmonic representations Zahra Kadkhodaie Florentin Guth Eero P. Simoncelli Stéphane Mallat AI4CE DiffM 24 64 0 04 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 16 21 0 02 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji Stefano Ermon DiffM 32 170 0 01 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 17 3 0 30 Sep 2023
QonFusion -- Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion Shlomo Kashani 33 0 0 28 Sep 2023
Training-free Linear Image Inverses via Flows Ashwini Pokle Matthew Muckley Ricky T. Q. Chen Brian Karrer 11 20 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 20 52 0 23 Sep 2023
Light Field Diffusion for Single-View Novel View Synthesis Yifeng Xiong Haoyu Ma Shanlin Sun Kun Han Hao Tang Xiaohui Xie DiffM 36 2 0 20 Sep 2023
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li Huixia Li Xiawu Zheng Jie Wu Xuefeng Xiao Rui Wang Min Zheng Xin Pan Fei Chao R. Ji 77 35 0 19 Sep 2023
Generalised Diffusion Probabilistic Scale-Spaces Pascal Peter DiffM 22 0 0 15 Sep 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Xingchao Liu Xiwen Zhang Jianzhu Ma Jian Peng Qiang Liu 91 193 0 12 Sep 2023
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping Tianhao Wu Mingdong Wu Jiyao Zhang Yunchong Gan Hao Dong 36 20 0 12 Sep 2023
Score-PA: Score-based 3D Part Assembly Junfeng Cheng Mingdong Wu Ruiyuan Zhang Guanqi Zhan Chao Wu Hao Dong 26 8 0 08 Sep 2023
Diffusion on the Probability Simplex Griffin Floto Thorsteinn Jonsson Mihai Nica Scott Sanner Eric Zhengyu Zhu DiffM 20 7 0 05 Sep 2023
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models Dogyun Park Suhyun Kim EGVM 11 3 0 04 Sep 2023
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 29 11 0 03 Sep 2023
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction Yu Guan Chuanming Yu Shiyu Lu Zhuoxu Cui Dong Liang Qiegen Liu 28 14 0 02 Sep 2023
Score-Based Generative Models for PET Image Reconstruction I. Singh Alexander Denker Riccardo Barbano vZeljko Kereta Bangti Jin K. Thielemans Peter Maass Simon Arridge DiffM MedIm 21 16 0 27 Aug 2023
Diffusion Schrödinger Bridges for Bayesian Computation J. Heng Valentin De Bortoli Arnaud Doucet DiffM 25 3 0 27 Aug 2023
Renormalizing Diffusion Models Jordan S. Cotler Semon Rezchikov DiffM AI4CE 27 11 0 23 Aug 2023
Convergence guarantee for consistency models Junlong Lyu Zhitang Chen Shoubo Feng DiffM 14 5 0 22 Aug 2023
Monte Carlo guided Diffusion for Bayesian linear inverse problems Gabriel Victorino Cardoso Yazid Janati Sylvain Le Corff Eric Moulines DiffM 15 28 0 15 Aug 2023
SGDiff: A Style Guided Diffusion Model for Fashion Synthesis Zheng Sun Yanghong Zhou Honghong He P. Y. Mok DiffM 26 25 0 15 Aug 2023
U-Turn Diffusion Hamidreza Behjoo Michael Chertkov 14 3 0 14 Aug 2023
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 36 101 0 07 Aug 2023
On the Biometric Capacity of Generative Face Models Vishnu Naresh Boddeti Gautam Sreekumar Arun Ross CVBM 17 4 0 03 Aug 2023
Training Data Protection with Compositional Diffusion Models Aditya Golatkar Alessandro Achille A. Swaminathan Stefano Soatto DiffM 19 11 0 02 Aug 2023
Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion Zixuan Ni Longhui Wei Jiacheng Li Siliang Tang Yueting Zhuang Qi Tian DiffM 23 21 0 02 Aug 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models Weikang Yu Yonghao Xu Pedram Ghamisi 21 4 0 31 Jul 2023
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects Sascha Kirch Valeria Olyunina Jan Ondřej Rafael Pagés Sergio Martín Clara Pérez-Molina 12 2 0 29 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 33 59 0 17 Jul 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 20 4 0 12 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation Guoqiang Zhang J. P. Lewis W. Kleijn DiffM 29 24 0 10 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 19 12 0 10 Jul 2023