Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

15 June 2022

Jun Zhu

Papers citing "Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models"

50 / 64 papers shown

Title
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu Sili Huang Z. Yang Shengchao Hu Li Shen H. Chen Lichao Sun Yi-Ju Chang Dacheng Tao OffRL 91 0 0 03 May 2025
Fast Autoregressive Models for Continuous Latent Generation Tiankai Hang Jianmin Bao Fangyun Wei Dong Chen DiffM 70 0 0 24 Apr 2025
Gaussian Mixture Flow Matching Models Hansheng Chen Kai Zhang Hao Tan Zexiang Xu Fujun Luan Leonidas J. Guibas Gordon Wetzstein Sai Bi DiffM 61 0 0 07 Apr 2025
Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions Jinyoung Choi Junoh Kang Bohyung Han 35 0 0 02 Apr 2025
High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching Guoqiang Zhang Kenta Niwa J. P. Lewis Cedric Mesnage W. Kleijn 76 0 0 26 Mar 2025
Rethinking Diffusion Model in High Dimension Zhenxin Zheng Zhenjie Zheng DiffM 41 0 0 11 Mar 2025
PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores Guangyi Wang Yuren Cai Lijiang Li Wei Peng Songzhi Su DiffM 46 0 0 21 Feb 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 54 2 0 03 Jan 2025
Diffusion Sampling Correction via Approximately 10 Parameters Guangyi Wang Wei Peng Lijiang Li Wenyu Chen Yuren Cai Songzhi Su DiffM 31 0 0 10 Nov 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
Online Posterior Sampling with a Diffusion Prior B. Kveton Boris Oreshkin Youngsuk Park Aniket Deshmukh Rui Song DiffM 35 0 0 04 Oct 2024
HUMOS: Human Motion Model Conditioned on Body Shape Shashank Tripathi Omid Taheri Christoph Lassner Michael J. Black Daniel Holden Carsten Stoll 3DH DiffM 49 6 0 05 Sep 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 49 0 0 28 Jul 2024
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model Min Zhao Hongzhou Zhu Chendong Xiang Kaiwen Zheng Chongxuan Li Jun Zhu 67 8 0 22 Jun 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
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
On Inference Stability for Diffusion Models Viet Anh Nguyen Giang Vu Tung Nguyen Thanh Khoat Than Toan M. Tran 11 1 0 19 Dec 2023
One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng Ashwini Pokle Trevor Killeen 26 28 0 12 Dec 2023
Compensation Sampling for Improved Convergence in Diffusion Models Hui Lu A. A. Salah Ronald Poppe 24 1 0 11 Dec 2023
Mitigating Exposure Bias in Discriminator Guided Diffusion Models Eleftherios Tsonis Paraskevi Tzouveli Athanasios Voulodimos DiffM 10 2 0 18 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
Gaussian Mixture Solvers for Diffusion Models Hanzhong Guo Cheng Lu Fan Bao Tianyu Pang Shuicheng Yan Chao Du Chongxuan Li 28 9 0 02 Nov 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
Observation-Guided Diffusion Probabilistic Models Junoh Kang Jinyoung Choi Sungik Choi Bohyung Han 29 1 0 06 Oct 2023
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day Yifan Jiang Hao Tang Jen-Hao Rick Chang Liangchen Song Zhangyang Wang Liangliang Cao DiffM 23 10 0 04 Oct 2023
Elucidating the Exposure Bias in Diffusion Models Mang Ning Mingxiao Li Jianlin Su A. A. Salah Itir Onal Ertugrul DiffM 109 35 0 29 Aug 2023
Residual Denoising Diffusion Models Jiawei Liu Qiang Wang Huijie Fan Yinong Wang Yandong Tang Liangqiong Qu DiffM 31 32 0 25 Aug 2023
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport Zezeng Li Shenghao Li Zhanpeng Wang Na Lei Zhongxuan Luo Xianfeng Gu OT DiffM 15 9 0 21 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation Guoqiang Zhang J. P. Lewis W. Kleijn DiffM 29 24 0 10 Jul 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
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 52 0 07 Jun 2023
Image generation with shortest path diffusion Ayan Das Stathi Fotiadis Anil Batra F. Nabiei FengTing Liao Sattar Vakili Da-shan Shiu A. Bernacchia 14 8 0 01 Jun 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models Weijian Luo Tianyang Hu Shifeng Zhang Jiacheng Sun Zhenguo Li Zhihua Zhang 27 106 0 29 May 2023
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps Mingxiao Li Tingyu Qu Ruicong Yao Wei Sun Marie-Francine Moens DiffM 26 40 0 24 May 2023
GSURE-Based Diffusion Model Training with Corrupted Data Bahjat Kawar Noam Elata T. Michaeli Michael Elad DiffM 29 27 0 22 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He Luping Liu Jing Liu Weijia Wu Hong Zhou Bohan Zhuang DiffM MQ 22 100 0 18 May 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models Zhendong Wang Yifan Jiang Huangjie Zheng Peihao Wang Pengcheng He Zhangyang Wang Weizhu Chen Mingyuan Zhou 25 96 0 25 Apr 2023
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation Guoqiang Zhang Niwa Kenta W. Kleijn DiffM 8 8 0 22 Apr 2023
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation Guoqiang Zhang Niwa Kenta W. Kleijn DiffM 17 9 0 22 Apr 2023
Diffusion models with location-scale noise Alexia Jolicoeur-Martineau Kilian Fatras Ke Li Tal Kachman DiffM 22 3 0 12 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 33 33 0 09 Apr 2023
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer Shanghua Gao Pan Zhou Mingg-Ming Cheng Shuicheng Yan DiffM 137 155 0 25 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
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 201 35 0 21 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 30 4 0 13 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao Lujia Bai Yongming Rao Jie Zhou Jiwen Lu DiffM 16 198 0 09 Feb 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning Ying Fan Kangwook Lee 15 52 0 31 Jan 2023
Bipartite Graph Diffusion Model for Human Interaction Generation Baptiste Chopin Hao Tang Mohamed Daoudi DiffM 19 8 0 24 Jan 2023
Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh S. Kasiviswanathan B. Kveton Patrick Blobaum DiffM 14 7 0 12 Jan 2023