Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching

16 June 2022

Kaiwen Zheng

Jianfei Chen

Jun Zhu

Papers citing "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching"

50 / 55 papers shown

Title
Score-Based Turbo Message Passing for Plug-and-Play Compressive Image Recovery Chang Cai Xiaojun Yuan Y. Zhang 34 1 0 28 Mar 2025
Probability-Flow ODE in Infinite-Dimensional Function Spaces Kunwoo Na Junghyun Lee Se-Young Yun Sungbin Lim 45 0 0 13 Mar 2025
Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems? Evan Scope Crafts Umberto Villa 39 0 0 04 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
Towards Hierarchical Rectified Flow Yichi Zhang Yici Yan A. Schwing Zhizhen Zhao 41 1 0 24 Feb 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 70 0 0 29 Nov 2024
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 23 0 0 03 Nov 2024
Consistency Diffusion Bridge Models Guande He Kaiwen Zheng Jianfei Chen Fan Bao Jun-Jie Zhu DiffM 59 3 0 30 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 78 0 0 15 Oct 2024
What happens to diffusion model likelihood when your model is conditional? Mattias Cross Anton Ragni DiffM 35 0 0 10 Sep 2024
RCDM: Enabling Robustness for Conditional Diffusion Model Weifeng Xu Xiang Zhu Xiaoyong Li AAML 21 0 0 05 Aug 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 29 0 0 04 Jul 2024
DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance Younghyun Kim Geunmin Hwang Junyu Zhang Eunbyung Park 40 6 0 26 Jun 2024
Neural Residual Diffusion Models for Deep Scalable Vision Generation Zhiyuan Ma Liangliang Zhao Biqing Qi Bowen Zhou DiffM 56 2 0 19 Jun 2024
Mean-field Chaos Diffusion Models S. Park Dongjun Kim Ahmed Alaa DiffM 19 0 0 08 Jun 2024
Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling Kidist Amde Mekonnen Nicola DallÁsen Paolo Rota 21 1 0 31 May 2024
Diffusion Bridge Implicit Models Kaiwen Zheng Guande He Jianfei Chen Fan Bao Jun Zhu DiffM 73 13 0 24 May 2024
$MicroDreamer: Zero-shot 3D Generation in $\sim$20 Seconds by Score-based Iterative Reconstruction$ MicroDreamer: Zero-shot 3D Generation in $\sim$ 20 Seconds by Score-based Iterative Reconstruction Luxi Chen Zhengyi Wang Zihan Zhou Tingting Gao Hang Su Jun Zhu Chongxuan Li DiffM 3DGS 32 1 0 30 Apr 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations Kaiwen Xue Yuhao Zhou Shen Nie Xu Min Xiaolu Zhang Jun Zhou Chongxuan Li DiffM 34 11 0 24 Apr 2024
Understanding Diffusion Models by Feynman's Path Integral Yuji Hirono A. Tanaka Kenji Fukushima DiffM 33 6 0 17 Mar 2024
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing Wonjun Kang Kevin Galim Hyung Il Koo DiffM 26 5 0 14 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
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
Structure-Guided Adversarial Training of Diffusion Models Ling Yang Haotian Qian Zhilong Zhang Jingwei Liu Bin Cui 23 10 0 27 Feb 2024
Scalable Diffusion Models with State Space Backbone Zhengcong Fei Mingyuan Fan Changqian Yu Junshi Huang 62 33 0 08 Feb 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier Huanran Chen Yinpeng Dong Shitong Shao Zhongkai Hao Xiao Yang Hang Su Jun Zhu DiffM 29 12 0 04 Feb 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance Xinyu Peng Ziyang Zheng Wenrui Dai Nuoqian Xiao Chenglin Li Junni Zou Hongkai Xiong DiffM 37 20 0 03 Feb 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 With Learned Adaptive Noise S. Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 26 8 0 20 Dec 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 15 5 0 27 Nov 2023
Gaussian Interpolation Flows Yuan Gao Jianxia Huang Yuling Jiao AI4CE 16 2 0 20 Nov 2023
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing Shen Nie Hanzhong Guo Cheng Lu Yuhao Zhou Chenyu Zheng Chongxuan Li DiffM 19 37 0 02 Nov 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
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
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
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation Shengkun Tang Yaqing Wang Maksim Dzhigil Yi Liang Y. Li Dongkuan Xu 32 5 0 29 Sep 2023
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification Hila Manor T. Michaeli UQCV 23 17 0 24 Sep 2023
Convergence guarantee for consistency models Junlong Lyu Zhitang Chen Shoubo Feng DiffM 14 5 0 22 Aug 2023
Eliminating Lipschitz Singularities in Diffusion Models Zhantao Yang Ruili Feng Han Zhang Yujun Shen Kaixuan Zhu ... Yifei Zhang Yu Liu Deli Zhao Jingren Zhou Fan Cheng 8 9 0 20 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning Shuxin Zheng Jiyan He Chang-Shu Liu Yu Shi Ziheng Lu ... Peiran Jin Chi Chen Frank Noé Haiguang Liu Tie-Yan Liu AI4CE 15 40 0 08 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler Weijian Luo Boya Zhang Zhihua Zhang 21 10 0 08 Jun 2023
High-dimensional and Permutation Invariant Anomaly Detection Vinicius Mikuni Benjamin Nachman DiffM 19 16 0 06 Jun 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 29 26 0 06 May 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu Huayu Chen Jianfei Chen Hang Su Chongxuan Li Jun Zhu DiffM OffRL 19 58 0 25 Apr 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine L. Bouman William T. Freeman DiffM 74 87 0 23 Apr 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 244 261 0 15 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao Shen Nie Kaiwen Xue Chongxuan Li Shiliang Pu Yaole Wang Gang Yue Yue Cao Hang Su Jun Zhu DiffM 199 148 0 12 Mar 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 25 2 0 21 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 30 4 0 13 Feb 2023
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation Chieh-Hsin Lai Yuhta Takida Naoki Murata Toshimitsu Uesaka Yuki Mitsufuji Stefano Ermon DiffM 12 28 0 09 Oct 2022