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

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

2 June 2022
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
    DiffM
ArXivPDFHTML

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

50 / 980 papers shown
Title
Conditional Diffusion Model for Electrical Impedance Tomography
Conditional Diffusion Model for Electrical Impedance Tomography
Duanpeng Shi
Wendong Zheng
Di Guo
Huaping Liu
DiffM
MedIm
183
2
0
10 Jan 2025
TextToucher: Fine-Grained Text-to-Touch Generation
TextToucher: Fine-Grained Text-to-Touch Generation
Jiahang Tu
Hao Fu
Fengyu Yang
Hanbin Zhao
Chao Zhang
Hui Qian
VLM
DiffM
80
8
0
10 Jan 2025
EditAR: Unified Conditional Generation with Autoregressive Models
EditAR: Unified Conditional Generation with Autoregressive Models
Jiteng Mu
Nuno Vasconcelos
Xinyu Wang
DiffM
43
5
0
08 Jan 2025
Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model
Omid Saghatchian
Atiyeh Gh. Moghadam
Ahmad Nickabadi
MoMe
49
1
0
03 Jan 2025
Neural Network Diffusion
Neural Network Diffusion
Kaili Wang
Dongwen Tang
Boya Zeng
Yida Yin
Zhaopan Xu
Yukun Zhou
Zelin Zang
Trevor Darrell
Zhuang Liu
Yang You
DiffM
60
18
0
03 Jan 2025
Generative Modelling with High-Order Langevin Dynamics
Generative Modelling with High-Order Langevin Dynamics
Ziqiang Shi
Rujie Liu
DiffM
62
2
0
03 Jan 2025
Score-Based Metropolis-Hastings Algorithms
Score-Based Metropolis-Hastings Algorithms
Ahmed Aloui
Ali Hasan
Juncheng Dong
Zihao Wu
Vahid Tarokh
DiffM
41
0
0
31 Dec 2024
AdaDiff: Adaptive Step Selection for Fast Diffusion Models
AdaDiff: Adaptive Step Selection for Fast Diffusion Models
Hui Zhang
Zuxuan Wu
Zhen Xing
Jie Shao
Yu-Gang Jiang
53
9
0
31 Dec 2024
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
Yuang Wang
Pengfei Jin
L. Zhang
Quanzheng Li
Zhiqiang Chen
Dufan Wu
DiffM
26
0
0
31 Dec 2024
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
Wen-Dao Dai
Ling-Hao Chen
Jingbo Wang
Jinpeng Liu
Bo Dai
Yansong Tang
71
55
0
31 Dec 2024
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Chengyou Jia
Minnan Luo
Zhuohang Dang
Guangwen Dai
Xiao Chang
Yufei Guo
DiffM
56
1
0
31 Dec 2024
Forensics of Transpiled Quantum Circuits
Forensics of Transpiled Quantum Circuits
Rupshali Roy
Archisman Ghosh
Swaroop Ghosh
64
1
0
25 Dec 2024
AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of
  Adaptive Draft Structures
AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of Adaptive Draft Structures
Situo Zhang
Hankun Wang
Da Ma
Zichen Zhu
Lu Chen
Kunyao Lan
Kai Yu
37
2
0
25 Dec 2024
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
H. Kim
Jaejun Yoo
52
0
0
23 Dec 2024
Next Patch Prediction for Autoregressive Visual Generation
Next Patch Prediction for Autoregressive Visual Generation
Yatian Pang
Peng Jin
Shuo Yang
Bin Lin
Bin Zhu
...
Liuhan Chen
Francis E. H. Tay
Ser-Nam Lim
Harry Yang
Li Yuan
123
9
0
19 Dec 2024
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
Xinyang Liu
Pengchao Han
Xuan Li
Bo Liu
61
0
0
18 Dec 2024
Urban Air Temperature Prediction using Conditional Diffusion Models
Urban Air Temperature Prediction using Conditional Diffusion Models
Siyang Dai
Jun Liu
Ngai-Man Cheung
82
0
0
18 Dec 2024
Real-time One-Step Diffusion-based Expressive Portrait Videos Generation
Real-time One-Step Diffusion-based Expressive Portrait Videos Generation
Hanzhong Guo
Hongwei Yi
Daquan Zhou
Alexander William Bergman
Michael Lingelbach
Yizhou Yu
DiffM
85
1
0
18 Dec 2024
OmniPrism: Learning Disentangled Visual Concept for Image Generation
OmniPrism: Learning Disentangled Visual Concept for Image Generation
Yangyang Li
Daqing Liu
Wu Liu
Allen He
Xinchen Liu
Yongdong Zhang
Guoqing Jin
DiffM
CoGe
83
0
0
16 Dec 2024
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
Yuning Han
Bingyin Zhao
Rui Chu
Feng Luo
Biplab Sikdar
Yingjie Lao
DiffM
AAML
86
1
0
16 Dec 2024
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
Wenhao Sun
Rong-Cheng Tu
Jingyi Liao
Zhao Jin
Dacheng Tao
VGen
105
1
0
16 Dec 2024
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for
  Image Reconstruction
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction
Sai Qian Zhang
Ziyun Li
Chuan Guo
Saeed Mahloujifar
Deeksha Dangwal
Edward Suh
B. D. Salvo
Chiao Liu
DiffM
90
0
0
11 Dec 2024
Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal
  Iterations
Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
Nikil Roashan Selvam
Amil Merchant
Stefano Ermon
DiffM
66
3
0
11 Dec 2024
SVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusion
SVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusion
Ximing Xing
Juncheng Hu
Jing Zhang
Dong Xu
Qian Yu
89
1
0
11 Dec 2024
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
Tianwei Yin
Qiang Zhang
Richard Zhang
William T. Freeman
F. Durand
Eli Shechtman
Xun Huang
VGen
DiffM
81
5
0
10 Dec 2024
Improving Source Extraction with Diffusion and Consistency Models
Improving Source Extraction with Diffusion and Consistency Models
Tornike Karchkhadze
M. Izadi
Shuo Zhang
DiffM
82
1
0
09 Dec 2024
Towards Understanding and Quantifying Uncertainty for Text-to-Image
  Generation
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
Gianni Franchi
Dat Nguyen Trong
Nacim Belkhir
Guoxuan Xia
Andrea Pilzer
UQLM
78
0
0
04 Dec 2024
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model
  Inference
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference
XiuYu Zhang
Zening Luo
Michelle E. Lu
DiffM
61
0
0
04 Dec 2024
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
Andreas Müller
Denis Lukovnikov
Jonas Thietke
Asja Fischer
Erwin Quiring
AAML
WIGM
198
4
0
04 Dec 2024
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and
  Editing
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing
Wenyi Mo
Tianyu Zhang
Yalong Bai
Bing-Huang Su
Ji-Rong Wen
DiffM
76
0
0
29 Nov 2024
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
Feng Liu
Shiwei Zhang
Xiaofeng Wang
Yujie Wei
Haonan Qiu
Yuzhong Zhao
Yingya Zhang
Qixiang Ye
Fang Wan
VGen
AI4TS
99
11
0
28 Nov 2024
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Zigeng Chen
Xinyin Ma
Gongfan Fang
Xinchao Wang
VLM
89
5
0
26 Nov 2024
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
Anubhav Jain
Yuya Kobayashi
Takashi Shibuya
Yuhta Takida
N. Memon
Julian Togelius
Yuki Mitsufuji
DiffM
109
2
0
23 Nov 2024
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Zhiwei Jia
Yuesong Nan
Huixi Zhao
Gengdai Liu
EGVM
91
0
0
22 Nov 2024
Diffusion-Inspired Cold Start with Sufficient Prior in Computerized
  Adaptive Testing
Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
Haiping Ma
Aoqing Xia
Changqian Wang
Hai Wang
Xingyi Zhang
DiffM
73
1
0
19 Nov 2024
Conceptwm: A Diffusion Model Watermark for Concept Protection
Liangqi Lei
Keke Gai
Jing Yu
Liehuang Zhu
Qi Wu
WIGM
92
2
0
18 Nov 2024
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
N. Ou
Zhuo Chen
Xinru Zhang
Junzheng Wang
37
0
0
17 Nov 2024
Generating Compositional Scenes via Text-to-image RGBA Instance Generation
Alessandro Fontanella
Petru-Daniel Tudosiu
Yongxin Yang
Shifeng Zhang
Sarah Parisot
41
2
0
16 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
SmoothCache: A Universal Inference Acceleration Technique for Diffusion
  Transformers
SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers
Joseph Liu
Joshua Geddes
Ziyu Guo
Haomiao Jiang
Mahesh Kumar Nandwana
56
0
0
15 Nov 2024
Physics Informed Distillation for Diffusion Models
Physics Informed Distillation for Diffusion Models
Joshua Tian Jin Tee
Kang Zhang
Hee Suk Yoon
Dhananjaya N. Gowda
Chanwoo Kim
Chang D. Yoo
DiffM
62
3
0
13 Nov 2024
Diverse capability and scaling of diffusion and auto-regressive models
  when learning abstract rules
Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules
Binxu Wang
Jiaqi Shang
Haim Sompolinsky
DiffM
41
1
0
12 Nov 2024
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image
  Synthesis
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
Zanlin Ni
Yulin Wang
Renping Zhou
Yizeng Han
Jiayi Guo
Zhiyuan Liu
Yuan Yao
Gao Huang
63
4
0
11 Nov 2024
Diffusion Sampling Correction via Approximately 10 Parameters
Diffusion Sampling Correction via Approximately 10 Parameters
Guangyi Wang
Wei Peng
Lijiang Li
Wenyu Chen
Yuren Cai
Songzhi Su
DiffM
38
0
0
10 Nov 2024
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient
  Initial Convolution and Fixed-Size Reusable Structures for On-Device Image
  Generation
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation
Sanchar Palit
Sathya Veera Reddy Dendi
Mallikarjuna Talluri
Raj Narayana Gadde
41
0
0
09 Nov 2024
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion
  Models
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Shuhong Zheng
Zhipeng Bao
Ruoyu Zhao
Martial Hebert
Yu-xiong Wang
DiffM
35
0
0
07 Nov 2024
Controlling Human Shape and Pose in Text-to-Image Diffusion Models via
  Domain Adaptation
Controlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain Adaptation
Benito Buchheim
M. Reimann
Jürgen Döllner
31
0
0
07 Nov 2024
CPIG: Leveraging Consistency Policy with Intention Guidance for
  Multi-agent Exploration
CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration
Y. Fu
Yuanheng Zhu
Haoran Li
Zijie Zhao
Jiajun Chai
Dongbin Zhao
42
0
0
06 Nov 2024
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
Huayang Huang
Yu Wu
Qian Wang
DiffM
WIGM
51
5
0
06 Nov 2024
DiT4Edit: Diffusion Transformer for Image Editing
DiT4Edit: Diffusion Transformer for Image Editing
Kunyu Feng
Y. Ma
Bingyuan Wang
Chenyang Qi
Haozhe Chen
Qifeng Chen
Zeyu Wang
37
16
0
05 Nov 2024
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