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Score-Based Generative Modeling through Stochastic Differential
  Equations

Score-Based Generative Modeling through Stochastic Differential Equations

26 November 2020
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
    DiffM
    SyDa
ArXivPDFHTML

Papers citing "Score-Based Generative Modeling through Stochastic Differential Equations"

50 / 1,690 papers shown
Title
Value Gradient Sampler: Sampling as Sequential Decision Making
Value Gradient Sampler: Sampling as Sequential Decision Making
Sangwoong Yoon
Himchan Hwang
Hyeokju Jeong
Dong Kyu Shin
Che-Sang Park
Sehee Kwon
Frank C. Park
76
0
0
18 Feb 2025
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios
Liangqi Lei
Keke Gai
Jing Yu
Liehuang Zhu
Qi Wu
WIGM
67
0
0
18 Feb 2025
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
Ye Tian
L. Yang
Xinchen Zhang
Yunhai Tong
Mengdi Wang
Tengjiao Wang
67
1
0
17 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy
Maximum Entropy Reinforcement Learning with Diffusion Policy
Xiaoyi Dong
Jian Cheng
Xinsong Zhang
46
0
0
17 Feb 2025
MARS: Mesh AutoRegressive Model for 3D Shape Detailization
MARS: Mesh AutoRegressive Model for 3D Shape Detailization
Jingnan Gao
Weizhe Liu
Weixuan Sun
Senbo Wang
Xibin Song
...
Shenzhou Chen
Hongdong Li
Xiaoyu Yang
Yichao Yan
Pan Ji
82
2
0
17 Feb 2025
In-Context Parametric Inference: Point or Distribution Estimators?
In-Context Parametric Inference: Point or Distribution Estimators?
Sarthak Mittal
Yoshua Bengio
Nikolay Malkin
Guillaume Lajoie
72
0
0
17 Feb 2025
CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
zhe Huang
Shuo Wang
Yanjie Wang
Lei Wang
DiffM
182
0
0
17 Feb 2025
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering
Suparshva Jain
Amit Sangroya
Lovekesh Vig
DiffM
57
1
0
17 Feb 2025
Diffusion Models without Classifier-free Guidance
Diffusion Models without Classifier-free Guidance
Zhicong Tang
Jianmin Bao
Dong Chen
Baining Guo
VLM
60
2
0
17 Feb 2025
Hyperspherical Energy Transformer with Recurrent Depth
Yunzhe Hu
Difan Zou
Dong Xu
48
0
0
17 Feb 2025
Single-Step Consistent Diffusion Samplers
Single-Step Consistent Diffusion Samplers
Pascal Jutras-Dubé
Patrick Pynadath
Ruqi Zhang
DiffM
78
0
0
17 Feb 2025
SayAnything: Audio-Driven Lip Synchronization with Conditional Video Diffusion
SayAnything: Audio-Driven Lip Synchronization with Conditional Video Diffusion
Junxian Ma
Shiwen Wang
Jian Yang
Junyi Hu
Jian Liang
Guosheng Lin
Jingbo Chen
Kai Li
Yu Meng
DiffM
VGen
61
3
0
17 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Weilin Ruan
Siru Zhong
Haomin Wen
Keli Zhang
AI4TS
79
1
0
16 Feb 2025
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control
Dom Huh
P. Mohapatra
89
1
0
16 Feb 2025
SyncSpeech: Low-Latency and Efficient Dual-Stream Text-to-Speech based on Temporal Masked Transformer
SyncSpeech: Low-Latency and Efficient Dual-Stream Text-to-Speech based on Temporal Masked Transformer
Zhengyan Sheng
Zhihao Du
Shiliang Zhang
Zhijie Yan
Yexin Yang
Zhenhua Ling
51
1
0
16 Feb 2025
FuncGenFoil: Airfoil Generation and Editing Model in Function Space
FuncGenFoil: Airfoil Generation and Editing Model in Function Space
Jinouwen Zhang
Junjie Ren
A. Yang
Yan Lu
Lu Chen
Hairun Xie
Jing Wang
Miao Zhang
W. Ouyang
Shixiang Tang
198
0
0
15 Feb 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Haoyu Lei
Kaiwen Zhou
Yunshui Li
Zhitang Chen
Farzan Farnia
DiffM
70
1
0
15 Feb 2025
Large Language Diffusion Models
Large Language Diffusion Models
Shen Nie
Fengqi Zhu
Zebin You
Xiaolu Zhang
Jingyang Ou
Jun Hu
Jun Zhou
Yankai Lin
Zhicheng Dou
Chongxuan Li
112
17
0
14 Feb 2025
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
Vinh Tong
Trung-Dung Hoang
Anji Liu
Guy Van den Broeck
Mathias Niepert
DiffM
82
0
0
14 Feb 2025
Theoretical Benefit and Limitation of Diffusion Language Model
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng
Yihan Geng
Jian Guan
Wei Wu
Liwei Wang
Di He
DiffM
55
0
0
13 Feb 2025
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
100
0
0
13 Feb 2025
Rolling Ahead Diffusion for Traffic Scene Simulation
Rolling Ahead Diffusion for Traffic Scene Simulation
Yunpeng Liu
Matthew Niedoba
William Harvey
Adam Scibior
Berend Zwartsenberg
Frank Wood
69
0
0
13 Feb 2025
Designing a Conditional Prior Distribution for Flow-Based Generative Models
Designing a Conditional Prior Distribution for Flow-Based Generative Models
Noam Issachar
Mohammad Salama
Raanan Fattal
Sagie Benaim
91
0
0
13 Feb 2025
A Reversible Solver for Diffusion SDEs
A Reversible Solver for Diffusion SDEs
Zander W. Blasingame
Chen Liu
DiffM
54
0
0
12 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
Ao Li
Wei Fang
Hongbo Zhao
Le Lu
Ge Yang
Minfeng Xu
DiffM
83
0
0
11 Feb 2025
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations
Krunoslav Lehman Pavasovic
Jakob Verbeek
Giulio Biroli
Marc Mézard
64
0
0
11 Feb 2025
Consistency Training with Physical Constraints
Consistency Training with Physical Constraints
Che-Chia Chang
Chen-Yang Dai
Te-Sheng Lin
M. Lai
Chieh-Hsin Lai
DiffM
55
0
0
11 Feb 2025
Amortized In-Context Bayesian Posterior Estimation
Sarthak Mittal
Niels Leif Bracher
Guillaume Lajoie
P. Jaini
Marcus A. Brubaker
62
1
0
10 Feb 2025
History-Guided Video Diffusion
Kiwhan Song
Boyuan Chen
Max Simchowitz
Yilun Du
Russ Tedrake
Vincent Sitzmann
VGen
117
7
0
10 Feb 2025
Guidance-base Diffusion Models for Improving Photoacoustic Image Quality
Tatsuhiro Eguchi
Shumpei Takezaki
Mihoko Shimano
Takayuki Yagi
Ryoma Bise
MedIm
58
0
0
10 Feb 2025
CDM: Contact Diffusion Model for Multi-Contact Point Localization
Seo Wook Han
Min Jun Kim
DiffM
35
0
0
10 Feb 2025
Diffusion Models for Computational Neuroimaging: A Survey
Haokai Zhao
Haowei Lou
Lina Yao
Wei Peng
Ehsan Adeli
K. Pohl
Yu Zhang
MedIm
50
2
0
10 Feb 2025
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior
Lee Hyoseok
Kyeong Seon Kim
Kwon Byung-Ki
Tae-Hyun Oh
MDE
176
0
0
10 Feb 2025
When, Where and Why to Average Weights?
Niccolò Ajroldi
Antonio Orvieto
Jonas Geiping
MoMe
96
0
0
10 Feb 2025
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Filip Ekstrom Kelvinius
Zheng Zhao
Fredrik Lindsten
DiffM
52
0
0
10 Feb 2025
Diffusion Models for Inverse Problems in the Exponential Family
Alessandro Micheli
Mélodie Monod
Samir Bhatt
66
0
0
09 Feb 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models
Rafał Karczewski
Markus Heinonen
Vikas K. Garg
DiffM
47
0
0
09 Feb 2025
Dual Caption Preference Optimization for Diffusion Models
Amir Saeidi
Yiran Luo
Agneet Chatterjee
Shamanthak Hegde
Bimsara Pathiraja
Yezhou Yang
Chitta Baral
DiffM
63
0
0
09 Feb 2025
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
Yueying Zou
Peipei Li
Zekun Li
Huaibo Huang
Xing Cui
Xuannan Liu
Chenghanyu Zhang
Ran He
DeLMO
128
2
0
07 Feb 2025
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
Minh-Quan Le
Gaurav Mittal
Tianjian Meng
A S M Iftekhar
Vishwas Suryanarayanan
Barun Patra
Dimitris Samaras
Mei Chen
DiffM
67
0
0
07 Feb 2025
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing
Jinya Sakurai
Issei Sato
76
0
0
06 Feb 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Yiming Huang
Tolga Birdal
DiffM
78
0
0
06 Feb 2025
Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control
Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control
Xianghui Ze
Zhenbo Song
Qiwei Wang
Jianfeng Lu
Yujiao Shi
65
0
0
05 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li
Jinpei Guo
Runzhong Wang
H. Zha
Junchi Yan
63
5
0
05 Feb 2025
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
Jinhao Liang
Jacob K Christopher
Sven Koenig
Ferdinando Fioretto
99
1
0
05 Feb 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Alexander Kolesov
Manukhov Stepan
Vladimir V. Palyulin
Alexander Korotin
58
0
0
04 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Yixiao Chen
Shikun Sun
Jianshu Li
Ruoyu Li
Zhe Li
Junliang Xing
AAML
109
0
0
04 Feb 2025
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Marco Bertolini
Tuan Le
Djork-Arné Clevert
DiffM
86
0
0
04 Feb 2025
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
Jiyang Li
Jingyun Liang
Yong Guo
W. J. Li
Yulun Zhang
DiffM
75
0
0
04 Feb 2025
Open Materials Generation with Stochastic Interpolants
Open Materials Generation with Stochastic Interpolants
Philipp Hoellmer
Thomas Egg
Maya M. Martirossyan
Eric Fuemmeler
Amit Gupta
...
George Karypis
Mark K. Transtrum
Richard G. Hennig
E. Tadmor
Stefano Martiniani
AI4CE
95
1
0
04 Feb 2025
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