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Score-Based Generative Modeling through Stochastic Differential
  Equations
v1v2 (latest)

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
    DiffMSyDa
ArXiv (abs)PDFHTML

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

50 / 4,587 papers shown
Title
Tuning-Free Noise Rectification for High Fidelity Image-to-Video
  Generation
Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation
Weijie Li
Litong Gong
Yiran Zhu
Fanda Fan
Biao Wang
Tiezheng Ge
Bo Zheng
VGenDiffM
60
3
0
05 Mar 2024
Time Weaver: A Conditional Time Series Generation Model
Time Weaver: A Conditional Time Series Generation Model
Sai Shankar Narasimhan
Shubhankar Agarwal
Oguzhan Akcin
Sujay Sanghavi
Sandeep Chinchali
DiffMMedIm
118
21
0
05 Mar 2024
Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
Jinhong He
Minglong Xue
Zhipu Liu
Chengyun Song
DiffM
129
3
0
05 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models
On the Asymptotic Mean Square Error Optimality of Diffusion Models
B. Fesl
Benedikt Bock
Florian Strasser
Michael Baur
M. Joham
Wolfgang Utschick
DiffM
130
2
0
05 Mar 2024
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
P. Hess
Michael Aich
Baoxiang Pan
Niklas Boers
AI4Cl
107
2
0
05 Mar 2024
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video
  Diffusion Models via Training-Free Unified Attention Control
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control
Xuweiyi Chen
Tian Xia
Sihan Xu
VGenDiffM
88
8
0
04 Mar 2024
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
Zheng Lv
Yuxiang Wei
Wangmeng Zuo
Kwan-Yee K. Wong
89
17
0
04 Mar 2024
AtomoVideo: High Fidelity Image-to-Video Generation
AtomoVideo: High Fidelity Image-to-Video Generation
Litong Gong
Yiran Zhu
Weijie Li
Xiaoyang Kang
Biao Wang
Tiezheng Ge
Bo Zheng
DiffMVGen
174
12
0
04 Mar 2024
Soft-constrained Schrodinger Bridge: a Stochastic Control Approach
Soft-constrained Schrodinger Bridge: a Stochastic Control Approach
Jhanvi Garg
Xianyang Zhang
Quan Zhou
DiffMOT
60
2
0
04 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng
Tian Han
Peng-Tao Jiang
Hao Zhang
Jinwei Chen
Søren Hauberg
Yue Liu
DiffM
126
4
0
04 Mar 2024
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
Jiaxiang Cheng
Pan Xie
Xin Xia
Jiashi Li
Jie Wu
Yuxi Ren
Huixia Li
Xuefeng Xiao
Min Zheng
Lean Fu
114
12
0
04 Mar 2024
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian
  Mixture Models
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models
Yuchen Wu
Minshuo Chen
Zihao Li
Mengdi Wang
Yuting Wei
110
29
0
03 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in
  diffusion models
Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li
Sitan Chen
DiffM
102
14
0
03 Mar 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using
  Latent Diffusion Models
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
Iakovos Evdaimon
Giannis Nikolentzos
Michail Chatzianastasis
Hadi Abdine
Michalis Vazirgiannis
DiffM
61
4
0
03 Mar 2024
On Diffusion Process in SE(3)-invariant Space
On Diffusion Process in SE(3)-invariant Space
Zihan Zhou
Ruiying Liu
Jiachen Zheng
Xiaoxue Wang
Tianshu Yu
DiffM
80
1
0
03 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
Hongjian Liu
Qingsong Xie
Zhijie Deng
Chen Chen
Shixiang Tang
Fueyang Fu
Zheng-Jun Zha
H. Lu
Zheng-jun Zha
114
9
0
03 Mar 2024
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow
  Models
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
Neta Shaul
Uriel Singer
Ricky T. Q. Chen
Matt Le
Ali K. Thabet
Albert Pumarola
Y. Lipman
DiffM
82
4
0
02 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset
Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim
Byeonghu Na
Minsang Park
Joonho Jang
Dongjun Kim
Wanmo Kang
Il-Chul Moon
74
24
0
02 Mar 2024
GraphRCG: Self-Conditioned Graph Generation
GraphRCG: Self-Conditioned Graph Generation
Song Wang
Zhen Tan
Xinyu Zhao
Tianlong Chen
Huan Liu
Wenlin Yao
68
0
0
02 Mar 2024
Rethinking cluster-conditioned diffusion models
Rethinking cluster-conditioned diffusion models
Nikolas Adaloglou
Tim Kaiser
Félix D. P. Michels
M. Kollmann
VLM
75
3
0
01 Mar 2024
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
Xiangxiang Chu
Jianlin Su
Bo Zhang
Chunhua Shen
MLLM
106
12
0
01 Mar 2024
DistriFusion: Distributed Parallel Inference for High-Resolution
  Diffusion Models
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Zhekai Zhang
Tianle Cai
Jiaxin Cao
Qinsheng Zhang
Han Cai
Junjie Bai
Yangqing Jia
Ming-Yu Liu
Kai Li
Song Han
DiffM
122
53
0
29 Feb 2024
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao
Hailin Zhang
Qinhan Yu
Zhengren Wang
Yunteng Geng
Fangcheng Fu
Ling Yang
Wentao Zhang
Jie Jiang
Tengjiao Wang
3DV
288
286
0
29 Feb 2024
Towards Generalizable Tumor Synthesis
Towards Generalizable Tumor Synthesis
Qi Chen
Xiaoxi Chen
Haorui Song
Zhiwei Xiong
Alan Yuille
Chen Wei
Zongwei Zhou
MedIm
136
46
0
29 Feb 2024
Listening to the Noise: Blind Denoising with Gibbs Diffusion
Listening to the Noise: Blind Denoising with Gibbs Diffusion
David Heurtel-Depeiges
C. Margossian
Ruben Ohana
Bruno Régaldo-Saint Blancard
DiffM
85
2
0
29 Feb 2024
Trajectory Consistency Distillation: Improved Latent Consistency
  Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Jianbin Zheng
Minghui Hu
Zhongyi Fan
Chaoyue Wang
Changxing Ding
Dacheng Tao
Tat-Jen Cham
117
30
0
29 Feb 2024
Unified Generation, Reconstruction, and Representation: Generalized
  Diffusion with Adaptive Latent Encoding-Decoding
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu
Yu Wang
Zeyu Feng
Qiyu Wu
Liping Tang
...
Shuguang Cui
Julian McAuley
Zichao Yang
Eric P. Xing
Zhiting Hu
DiffM
97
4
0
29 Feb 2024
Structure Preserving Diffusion Models
Structure Preserving Diffusion Models
Haoye Lu
S. Szabados
Yaoliang Yu
DiffM
85
2
0
29 Feb 2024
CLLMs: Consistency Large Language Models
CLLMs: Consistency Large Language Models
Siqi Kou
Lanxiang Hu
Zhe He
Zhijie Deng
Hao Zhang
135
34
0
28 Feb 2024
Dynamical Regimes of Diffusion Models
Dynamical Regimes of Diffusion Models
Giulio Biroli
Tony Bonnaire
Valentin De Bortoli
Marc Mézard
DiffM
121
56
0
28 Feb 2024
Deep Confident Steps to New Pockets: Strategies for Docking
  Generalization
Deep Confident Steps to New Pockets: Strategies for Docking Generalization
Gabriele Corso
Arthur Deng
Benjamin Fry
Nicholas Polizzi
Regina Barzilay
Tommi Jaakkola
OOD
93
34
0
28 Feb 2024
Objective and Interpretable Breast Cosmesis Evaluation with Attention
  Guided Denoising Diffusion Anomaly Detection Model
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model
Sang-Il Park
Yong Bae Kim
J. Chang
Seo Hee Choi
Hyungjin Chung
Ik-jae Lee
H. Byun
DiffMMedIm
52
0
0
28 Feb 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An
  Adversarial Perspective
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective
Xinjian Luo
Yangfan Jiang
Fei Wei
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
DiffM
110
5
0
28 Feb 2024
Context-aware Talking Face Video Generation
Context-aware Talking Face Video Generation
Meidai Xuanyuan
Yuwang Wang
Honglei Guo
Qionghai Dai
DiffM
70
0
0
28 Feb 2024
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
Yanzuo Lu
Manlin Zhang
Andy J. Ma
Xiaohua Xie
Jian-Huang Lai
DiffM
68
24
0
28 Feb 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown
  Constraints
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
Lingkai Kong
Yuanqi Du
Wenhao Mu
Kirill Neklyudov
Valentin De Bortol
...
D. Wu
Aaron Ferber
Yi-An Ma
Carla P. Gomes
Chao Zhang
80
13
0
28 Feb 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
284
22
0
28 Feb 2024
Sequential transport maps using SoS density estimation and
  $α$-divergences
Sequential transport maps using SoS density estimation and ααα-divergences
Benjamin Zanger
Tiangang Cui
Martin Schreiber
O. Zahm
70
1
0
27 Feb 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions:
  Alleviating Metastability by Denoising Diffusion
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
Ye He
Kevin Rojas
Molei Tao
DiffM
116
11
0
27 Feb 2024
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning
Xiaoyu Zhang
Matthew Chang
Pranav Kumar
Saurabh Gupta
DiffMOffRL
113
15
0
27 Feb 2024
Structure-Guided Adversarial Training of Diffusion Models
Structure-Guided Adversarial Training of Diffusion Models
Ling Yang
Haotian Qian
Zhilong Zhang
Jingwei Liu
Tengjiao Wang
89
12
0
27 Feb 2024
Label-Noise Robust Diffusion Models
Label-Noise Robust Diffusion Models
Byeonghu Na
Yeongmin Kim
Heesun Bae
Jung Hyun Lee
Seho Kwon
Wanmo Kang
Il-Chul Moon
NoLaDiffM
106
8
0
27 Feb 2024
Accelerating Diffusion Sampling with Optimized Time Steps
Accelerating Diffusion Sampling with Optimized Time Steps
Shuchen Xue
Zhaoqiang Liu
Fei Chen
Shifeng Zhang
Tianyang Hu
Enze Xie
Zhenguo Li
DiffM
140
29
0
27 Feb 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class
  Incremental Object Detection
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim
Hoseong Cho
Jihyeon Kim
Yihalem Yimolal Tiruneh
Seungryul Baek
DiffM
132
21
0
27 Feb 2024
Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in
  Text-to-Image Generation
Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
Daiqing Li
Aleks Kamko
Ehsan Akhgari
Ali Sabet
Linmiao Xu
Suhail Doshi
75
110
0
27 Feb 2024
Sora: A Review on Background, Technology, Limitations, and Opportunities
  of Large Vision Models
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Yixin Liu
Kai Zhang
Yuan Li
Zhiling Yan
Chujie Gao
...
Yue Huang
Hanchi Sun
Jianfeng Gao
Lifang He
Lichao Sun
VLMVGenEGVM
180
300
0
27 Feb 2024
Generative Learning for Forecasting the Dynamics of Complex Systems
Generative Learning for Forecasting the Dynamics of Complex Systems
Han Gao
Sebastian Kaltenbach
Petros Koumoutsakos
AI4TSAI4CE
123
8
0
27 Feb 2024
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence
  Generation
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation
Zongying Lin
Hao Li
Liuzhenghao Lv
Lin Bin
Junwu Zhang
Calvin Yu-Chian Chwn
Li Yuan
Tian Yonghong
72
3
0
27 Feb 2024
Transparent Image Layer Diffusion using Latent Transparency
Transparent Image Layer Diffusion using Latent Transparency
Lvmin Zhang
Maneesh Agrawala
118
51
0
27 Feb 2024
Diffusion Model-Based Image Editing: A Survey
Diffusion Model-Based Image Editing: A Survey
Yi Huang
Jiancheng Huang
Yifan Liu
Mingfu Yan
Jiaxi Lv
Jianzhuang Liu
Wei Xiong
He Zhang
Liangliang Cao
Liangliang Cao
EGVM
243
103
0
27 Feb 2024
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