Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

17 January 2022

Jun Zhu

Papers citing "Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models"

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Title
Unlimited-Size Diffusion Restoration Yinhuai Wang Jiwen Yu Runyi Yu Jian Zhang 48 15 0 01 Mar 2023
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition Yifan Jiang Han Chen Hanseok Ko DiffM 37 3 0 26 Feb 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 38 2 0 21 Feb 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 206 36 0 21 Feb 2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions Lianghua Huang Di Chen Yu Liu Yujun Shen Deli Zhao Jingren Zhou DiffM 22 279 0 20 Feb 2023
Modelos Generativos basados en Mecanismos de Difusión J. D. L. Torre DiffM 18 0 0 18 Feb 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action Zhiye Guo Jian Liu Yanli Wang Mengrui Chen Duolin Wang Dong Xu Jianlin Cheng MedIm AI4CE DiffM 46 22 0 13 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 38 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 24 198 0 09 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min-Bin Lin Weiwei Liu Shuicheng Yan DiffM 24 208 0 09 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples Chumeng Liang Xiaoyu Wu Yang Hua Jiaru Zhang Yiming Xue Tao Song Zhengui Xue Ruhui Ma Haibing Guan DiffM WIGM 16 116 0 09 Feb 2023
Q-Diffusion: Quantizing Diffusion Models Xiuyu Li Yijia Liu Long Lian Hua Yang Zhen Dong Daniel Kang Shanghang Zhang Kurt Keutzer DiffM MQ 38 152 0 08 Feb 2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization Yasong Feng Weijian Luo Yimin Huang Tianyu Wang 18 8 0 03 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 39 231 0 01 Feb 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning Ying Fan Kangwook Lee 21 53 0 31 Jan 2023
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models Shengmeng Li Luping Liu Zenghao Chai Runnan Li Xuejiao Tan DiffM 32 11 0 30 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning Emanuele Aiello D. Valsesia E. Magli DiffM 22 4 0 19 Jan 2023
Mathematical analysis of singularities in the diffusion model under the submanifold assumption Yubin Lu Zhongjian Wang G. Bal DiffM 31 8 0 19 Jan 2023
Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh S. Kasiviswanathan B. Kveton Patrick Blobaum DiffM 27 7 0 12 Jan 2023
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation Ludan Ruan Y. Ma Huan Yang Huiguo He Bei Liu Jianlong Fu Nicholas Jing Yuan Qin Jin B. Guo DiffM VGen 33 170 0 19 Dec 2022
Towards Practical Plug-and-Play Diffusion Models Hyojun Go Yunsung Lee Jin-Young Kim Seunghyun Lee Myeongho Jeong Hyun Seung Lee Seungtaek Choi DiffM 29 16 0 12 Dec 2022
How to Backdoor Diffusion Models? Sheng-Yen Chou Pin-Yu Chen Tsung-Yi Ho DiffM SILM 19 95 0 11 Dec 2022
PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan Jiaming Song Umar Iqbal Arash Vahdat Jan Kautz VGen DiffM 34 236 0 05 Dec 2022
Why Are Conditional Generative Models Better Than Unconditional Ones? Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu DiffM 22 21 0 01 Dec 2022
Dimensionality-Varying Diffusion Process Han Zhang Ruili Feng Zhantao Yang Lianghua Huang Yu Liu Yifei Zhang Yujun Shen Deli Zhao Jingren Zhou Fan Cheng DiffM 22 10 0 29 Nov 2022
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 15 158 0 28 Nov 2022
Diffusion Probabilistic Model Made Slim Xingyi Yang Daquan Zhou Jiashi Feng Xinchao Wang DiffM 27 102 0 27 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 65 131 0 24 Nov 2022
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection Luping Liu Yi Ren Xize Cheng Rongjie Huang Chongxuan Li Zhou Zhao 26 7 0 21 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 10 52 0 20 Nov 2022
Denoising diffusion models for out-of-distribution detection M. Graham W. H. Pinaya Petru-Daniel Tudosiu P. Nachev Sebastien Ourselin M. Jorge Cardoso 30 72 0 14 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 24 803 0 02 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 42 555 0 02 Nov 2022
Improving Adversarial Robustness by Contrastive Guided Diffusion Process Yidong Ouyang Liyan Xie Guang Cheng 30 6 0 18 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 49 485 0 12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 187 64 0 30 Sep 2022
All are Worth Words: A ViT Backbone for Diffusion Models Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 26 315 0 25 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 64 106 0 12 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 194 1,143 0 10 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 43 845 0 07 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 206 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 27 56 0 16 Aug 2022
Exploring Generative Neural Temporal Point Process Haitao Lin Lirong Wu Guojiang Zhao Pai Liu Stan Z. Li DiffM 10 25 0 03 Aug 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao Fan Bao Chongxuan Li Jun Zhu DiffM 38 189 0 14 Jul 2022
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling He Ma Li Zhang Xiatian Zhu Jianfeng Feng DiffM 92 25 0 05 Jul 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 25 11 0 17 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu Bo Zhang DiffM 30 72 0 15 Jun 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 34 112 0 11 Jun 2022