DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

20 October 2023

Kaiwen Zheng

Cheng Lu

Jianfei Chen

Jun Zhu

DiffM

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Papers citing "DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics"

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Title
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression Dohyun Kim S. Park Geonhee Han Seung Wook Kim Paul Hongsuck Seo DiffM 55 0 0 02 Apr 2025
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation Jiawei Zhang Ziyuan Liu Leon Yan Gen Li Yuantao Gu 59 0 0 13 Mar 2025
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence Shangwen Zhu Han Zhang Zhantao Yang Qianyu Peng Zhao Pu H. Wang Fan Cheng DiffM 48 0 0 12 Mar 2025
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers Jiacheng Liu Chang Zou Yuanhuiyi Lyu Junjie Chen Linfeng Zhang DiffM 58 1 0 10 Mar 2025
Towards More Accurate Personalized Image Generation: Addressing Overfitting and Evaluation Bias Mingxiao Li Tingyu Qu Tinne Tuytelaars Marie-Francine Moens EGVM 43 0 0 09 Mar 2025
Federated Learning for Diffusion Models Zihao Peng Xijun Wang Shengbo Chen Hong Rao Cong Shen DiffM FedML 53 0 0 09 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 49 0 0 03 Mar 2025
S4S: Solving for a Diffusion Model Solver Eric Frankel Sitan Chen J. Li Pang Wei Koh Lillian J. Ratliff Sewoong Oh DiffM 46 0 0 24 Feb 2025
PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores Guangyi Wang Yuren Cai Lijiang Li Wei Peng Songzhi Su DiffM 49 0 0 21 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng X. Zhang 46 0 0 17 Feb 2025
Beyond and Free from Diffusion: Invertible Guided Consistency Training Chia-Hong Hsu Shiu-hong Kao Randall Balestriero 3DV 82 0 0 08 Feb 2025
Designing Scheduling for Diffusion Models via Spectral Analysis Roi Benita Michael Elad Joseph Keshet DiffM 60 0 0 31 Jan 2025
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Zigeng Chen Xinyin Ma Gongfan Fang Xinchao Wang VLM 89 4 0 26 Nov 2024
Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer Shitong Shao Zikai Zhou Tian Ye Lichen Bai Zhiqiang Xu Zeke Xie DiffM 49 0 0 16 Nov 2024
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
Consistency Diffusion Bridge Models Guande He Kaiwen Zheng Jianfei Chen Fan Bao Jun-Jie Zhu DiffM 64 3 0 30 Oct 2024
Discrete Modeling via Boundary Conditional Diffusion Processes Yuxuan Gu Xiaocheng Feng Lei Huang Yingsheng Wu Zekun Zhou Weihong Zhong Kun Zhu Bing Qin DiffM 28 0 0 29 Oct 2024
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension Yoshitaka Koike Takumi Nakagawa Hiroki Waida Takafumi Kanamori DiffM 30 0 0 28 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 61 0 0 11 Oct 2024
$$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models$ $\textit{Jump Your Steps}$ : Optimizing Sampling Schedule of Discrete Diffusion Models Yong-Hyun Park Chieh-Hsin Lai Satoshi Hayakawa Yuhta Takida Yuki Mitsufuji 54 4 0 10 Oct 2024
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration Zhiyu Zhu Jinhui Hou Hui Liu Huanqiang Zeng Junhui Hou 37 0 0 07 Oct 2024
Simple and Fast Distillation of Diffusion Models Zhenyu Zhou Defang Chen Can Wang Chun Chen Siwei Lyu DiffM 35 5 0 29 Sep 2024
Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang Yuchuan Tian Lei Yu Huao Tang Jie Hu Xiangzhong Fang Hanting Chen DiffM 32 0 0 26 Sep 2024
DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models Avirup Das Rishabh Dev Yadav Sihao Sun Mingfei Sun Samuel Kaski Wei Pan 21 2 0 17 Sep 2024
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation Wenliang Zhao Haolin Wang Jie Zhou Jiwen Lu DiffM 22 1 0 05 Sep 2024
CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems Jiankun Zhao Bowen Song Liyue Shen DiffM 45 4 0 17 Jul 2024
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration Pratheba Selvaraju Tianyu Ding Tianyi Chen Ilya Zharkov Luming Liang 36 20 0 01 Jul 2024
Consistency Models Made Easy Zhengyang Geng Ashwini Pokle William Luo Justin Lin J. Zico Kolter 35 24 0 20 Jun 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising Zigeng Chen Xinyin Ma Gongfan Fang Zhenxiong Tan Xinchao Wang 46 7 0 11 Jun 2024
GECO: Generative Image-to-3D within a SECOnd Chen Wang Jiatao Gu Xiaoxiao Long Yuan Liu Lingjie Liu 39 5 0 30 May 2024
Diffusion Rejection Sampling Byeonghu Na Yeongmin Kim Minsang Park DongHyeok Shin Wanmo Kang Il-Chul Moon 43 2 0 28 May 2024
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models Hengkang Wang Xu Zhang Taihui Li Yuxiang Wan Tiancong Chen Ju Sun DiffM 29 12 0 27 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 44 2 0 27 May 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 43 15 0 24 May 2024
Learning to Discretize Denoising Diffusion ODEs Vinh Tong Anji Liu Trung-Dung Hoang Guy Van den Broeck Mathias Niepert DiffM 36 4 0 24 May 2024
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You Zhiyu Zhu Hui Liu Junhui Hou VGen DiffM 28 23 0 24 May 2024
Diffusion Bridge Implicit Models Kaiwen Zheng Guande He Jianfei Chen Fan Bao Jun Zhu DiffM 78 13 0 24 May 2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models Amirmojtaba Sabour Sanja Fidler Karsten Kreis DiffM 32 24 0 22 Apr 2024
SparseDM: Toward Sparse Efficient Diffusion Models Kafeng Wang Jianfei Chen He Li Zhenpeng Mi Jun-Jie Zhu DiffM 60 8 0 16 Apr 2024
aMUSEd: An Open MUSE Reproduction Suraj Patil William Berman Robin Rombach Patrick von Platen VLM 25 18 0 03 Jan 2024
Bellman Optimal Stepsize Straightening of Flow-Matching Models Bao Nguyen Binh Nguyen Viet Anh Nguyen 24 6 0 27 Dec 2023
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models Angela Castillo Jonas Kohler Juan C. Pérez Juan Pablo Pérez Albert Pumarola Bernard Ghanem Pablo Arbelaez Ali K. Thabet 23 12 0 19 Dec 2023
Optimizing Diffusion Noise Can Serve As Universal Motion Priors Korrawe Karunratanakul Konpat Preechakul Emre Aksan Thabo Beeler Supasorn Suwajanakorn Siyu Tang DiffM 29 37 0 19 Dec 2023
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models En-hao Liu Xuefei Ning Huazhong Yang Yu Wang DiffM 31 11 0 12 Dec 2023
DiffAIL: Diffusion Adversarial Imitation Learning Bingzheng Wang Guoqiang Wu Teng Pang Yan Zhang Yilong Yin 27 10 0 11 Dec 2023
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models Junhyuk So Jungwon Lee Eunhyeok Park DiffM 26 9 0 06 Dec 2023
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis Zehua Chen Guande He Kaiwen Zheng Xu Tan Jun Zhu DiffM 51 21 0 06 Dec 2023
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 212 778 0 27 Jan 2022
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 195 258 0 07 Jan 2021