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DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

2 June 2022

Jianfei Chen

Jun Zhu

Papers citing "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps"

50 / 1,052 papers shown

Title
HS-Diffusion: Semantic-Mixing Diffusion for Head Swapping Qinghe Wang Lijie Liu Miao Hua Pengfei Zhu W. Zuo Qinghua Hu Huchuan Lu Bing Cao DiffM 68 9 0 13 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context Samuel Weinbach Marco Bellagente C. Eichenberg Andrew M. Dai R. Baldock Souradeep Nanda Bjorn Deiseroth Koen Oostermeijer H. Teufel Andres Felipe Cruz Salinas DiffM 192 11 0 06 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding Gyeongman Kim Hajin Shim Hyunsung Kim Yunjey Choi Junho Kim Eunho Yang DiffM VGen 76 32 0 06 Dec 2022
PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan Jiaming Song Umar Iqbal Arash Vahdat Jan Kautz VGen DiffM 164 257 0 05 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 105 65 0 04 Dec 2022
Why Are Conditional Generative Models Better Than Unconditional Ones? Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu DiffM 96 24 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 52 10 0 29 Nov 2022
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 157 182 0 28 Nov 2022
Continuous diffusion for categorical data Sander Dieleman Laurent Sartran Arman Roshannai Nikolay Savinov Yaroslav Ganin ... Conor Durkan Curtis Hawthorne Rémi Leblond Will Grathwohl J. Adler DiffM 121 106 0 28 Nov 2022
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models Zhengfu He Tianxiang Sun Kuan-Chieh Wang Xuanjing Huang Xipeng Qiu DiffM VLM 103 132 0 28 Nov 2022
Diffusion Probabilistic Model Made Slim Xingyi Yang Daquan Zhou Jiashi Feng Xinchao Wang DiffM 110 111 0 27 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 173 48 0 25 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 148 152 0 24 Nov 2022
EDICT: Exact Diffusion Inversion via Coupled Transformations Bram Wallace Akash Gokul Nikhil Naik DiffM 113 188 0 22 Nov 2022
Accelerating Diffusion Sampling with Classifier-based Feature Distillation Wujie Sun Defang Chen Can Wang Deshi Ye Yan Feng Chun-Yen Chen 90 17 0 22 Nov 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 176 87 0 21 Nov 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models Daquan Zhou Weimin Wang Hanshu Yan Weiwei Lv Yizhe Zhu Jiashi Feng DiffM VGen 131 390 0 20 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 142 54 0 20 Nov 2022
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction Wenjun Xia W. Cong Ge Wang DiffM MedIm 95 25 0 18 Nov 2022
DiffusionDet: Diffusion Model for Object Detection Shoufa Chen Pei Sun Yibing Song Ping Luo 133 476 0 17 Nov 2022
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models Zhihong Pan Xiaoxia Zhou Hao Tian DiffM 75 23 0 14 Nov 2022
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation Zhihong Pan Xiaoxia Zhou Hao Tian DiffM 62 12 0 14 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 111 21 0 07 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Zhekai Zhang Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 152 49 0 03 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 223 833 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 252 616 0 02 Nov 2022
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model Junde Wu Rao Fu Huihui Fang Yu Zhang Yehui Yang Haoyi Xiong Huiying Liu Yanwu Xu MedIm VLM DiffM 255 254 0 01 Nov 2022
MagicMix: Semantic Mixing with Diffusion Models Jun Hao Liew Hanshu Yan Daquan Zhou Jiashi Feng DiffM 233 64 0 28 Oct 2022
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 102 100 0 18 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 122 69 0 11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 122 114 0 11 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention Raphael Tang Linqing Liu Akshat Pandey Zhiying Jiang Gefei Yang K. Kumar Pontus Stenetorp Jimmy J. Lin Ferhan Ture 177 177 0 10 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 126 39 0 10 Oct 2022
On Distillation of Guided Diffusion Models Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 93 536 0 06 Oct 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 275 67 0 30 Sep 2022
$Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup$ Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 $\times$ Speedup Wenjun Xia Qing Lyu Ge Wang DiffM MedIm 52 5 0 29 Sep 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 157 867 0 29 Sep 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim Jong Chul Ye DiffM 98 15 0 29 Sep 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu DiffM OffRL 192 122 0 29 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 199 366 0 25 Sep 2022
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models Qing Lyu Ge Wang DiffM MedIm 176 87 0 24 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 369 1,260 0 10 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 292 1,056 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 332 239 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 Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 551 1,428 0 02 Sep 2022
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Zhendong Wang Jonathan J. Hunt Mingyuan Zhou OffRL 141 391 0 12 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning Ting-Li Chen Ruixiang Zhang Geoffrey E. Hinton DiffM 146 313 0 08 Aug 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao Fan Bao Chongxuan Li Jun Zhu DiffM 143 197 0 14 Jul 2022
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 393 179 0 30 Jun 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 119 117 0 11 Jun 2022