ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.05600
  4. Cited By
Generative Modeling by Estimating Gradients of the Data Distribution

Generative Modeling by Estimating Gradients of the Data Distribution

12 July 2019
Yang Song
Stefano Ermon
    SyDa
    DiffM
ArXivPDFHTML

Papers citing "Generative Modeling by Estimating Gradients of the Data Distribution"

50 / 2,622 papers shown
Title
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
DiffM
MedIm
67
20
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
62
2
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
69
0
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
61
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
VGen
DiffM
45
8
0
04 Mar 2024
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal
  Conversational Emotion Detection
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection
Jiamin Luo
Jingjing Wang
Guodong Zhou
50
1
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
DiffM
OT
48
0
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
89
2
0
04 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
41
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
49
6
0
03 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
35
21
0
02 Mar 2024
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
Yuhao Liu
Zhanghan Ke
Fang Liu
Nanxuan Zhao
Rynson W. H. Lau
DiffM
56
19
0
01 Mar 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
139
243
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
50
28
0
29 Feb 2024
Structure Preserving Diffusion Models
Structure Preserving Diffusion Models
Haoye Lu
S. Szabados
Yaoliang Yu
DiffM
70
2
0
29 Feb 2024
Dynamical Regimes of Diffusion Models
Dynamical Regimes of Diffusion Models
Giulio Biroli
Tony Bonnaire
Valentin De Bortoli
Marc Mézard
DiffM
63
43
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
60
28
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
DiffM
MedIm
40
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
72
4
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
39
10
0
28 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
DiffM
OffRL
65
15
0
27 Feb 2024
CustomSketching: Sketch Concept Extraction for Sketch-based Image
  Synthesis and Editing
CustomSketching: Sketch Concept Extraction for Sketch-based Image Synthesis and Editing
Chufeng Xiao
Hongbo Fu
DiffM
63
3
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
56
11
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
NoLa
DiffM
65
8
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
VLM
VGen
EGVM
84
270
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
AI4TS
AI4CE
65
6
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
79
90
0
27 Feb 2024
DiffuCOMET: Contextual Commonsense Knowledge Diffusion
DiffuCOMET: Contextual Commonsense Knowledge Diffusion
Silin Gao
Mete Ismayilzada
Mengjie Zhao
Hiromi Wakaki
Yuki Mitsufuji
Antoine Bosselut
DiffM
58
0
0
26 Feb 2024
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature
  of Data
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data
Antonio Sclocchi
Alessandro Favero
Matthieu Wyart
DiffM
51
28
0
26 Feb 2024
Contextualized Diffusion Models for Text-Guided Image and Video
  Generation
Contextualized Diffusion Models for Text-Guided Image and Video Generation
Ling Yang
Zhilong Zhang
Zhaochen Yu
Jingwei Liu
Minkai Xu
Stefano Ermon
Tengjiao Wang
54
4
0
26 Feb 2024
Graph Learning with Distributional Edge Layouts
Graph Learning with Distributional Edge Layouts
Xinjian Zhao
Chaolong Ying
Tianshu Yu
50
1
0
26 Feb 2024
Placing Objects in Context via Inpainting for Out-of-distribution
  Segmentation
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Pau de Jorge
Riccardo Volpi
P. Dokania
Philip Torr
Grégory Rogez
DiffM
74
5
0
26 Feb 2024
Generative AI in Vision: A Survey on Models, Metrics and Applications
Generative AI in Vision: A Survey on Models, Metrics and Applications
Gaurav Raut
Apoorv Singh
VLM
MedIm
72
6
0
26 Feb 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based
  Drug Design
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan
Xiangxin Zhou
Yuwei Yang
Yu Bao
Jian-wei Peng
Jianzhu Ma
Qiang Liu
Liang Wang
Quanquan Gu
45
69
0
26 Feb 2024
Infrared and visible Image Fusion with Language-driven Loss in CLIP
  Embedding Space
Infrared and visible Image Fusion with Language-driven Loss in CLIP Embedding Space
Yuhao Wang
Lingjuan Miao
Zhiqiang Zhou
Lei Zhang
Yajun Qiao
CLIP
44
3
0
26 Feb 2024
Enhanced Droplet Analysis Using Generative Adversarial Networks
Enhanced Droplet Analysis Using Generative Adversarial Networks
Tan-Hanh Pham
Kim-Doang Nguyen
61
4
0
24 Feb 2024
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved
  Diffusion Models
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
Li Pang
Xiangyu Rui
Long Cui
Hongzhong Wang
Deyu Meng
Xiangyong Cao
DiffM
52
19
0
24 Feb 2024
Generative Modelling with Tensor Train approximations of
  Hamilton--Jacobi--Bellman equations
Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations
David Sommer
Robert Gruhlke
Max Kirstein
Martin Eigel
Claudia Schillings
44
3
0
23 Feb 2024
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Jiajun Ma
Shuchen Xue
Tianyang Hu
Wei Cao
Zhaoqiang Liu
Zhenguo Li
Zhi-Ming Ma
Kenji Kawaguchi
58
5
0
23 Feb 2024
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev
  inequalities
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
Fengyi Li
Ayoub Belhadji
Youssef Marzouk
40
1
0
23 Feb 2024
Label-efficient multi-organ segmentation with a diffusion model
Label-efficient multi-organ segmentation with a diffusion model
Yongzhi Huang
Jinxin Zhu
Haseeb Hassan
Liyilei Su
Jingyu Li
Binding Huang
Yun Peng
Jingyu Li
Jun Ma
Bingding Huang
DiffM
MedIm
53
0
0
23 Feb 2024
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video
  Synthesis
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Willi Menapace
Aliaksandr Siarohin
Ivan Skorokhodov
Ekaterina Deyneka
Tsai-Shien Chen
...
Yuwei Fang
A. Stoliar
Elisa Ricci
Jian Ren
Sergey Tulyakov
VGen
66
57
0
22 Feb 2024
Batch and match: black-box variational inference with a score-based
  divergence
Batch and match: black-box variational inference with a score-based divergence
Diana Cai
Chirag Modi
Loucas Pillaud-Vivien
C. Margossian
Robert Mansel Gower
David M. Blei
Lawrence K. Saul
52
9
0
22 Feb 2024
PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a
  Diffusion Probabilistic Model
PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model
Yukiya Hono
Kei Hashimoto
Yoshihiko Nankaku
Keiichi Tokuda
DiffM
48
3
0
22 Feb 2024
D-Flow: Differentiating through Flows for Controlled Generation
D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu
Omri Puny
Itai Gat
Brian Karrer
Uriel Singer
Y. Lipman
53
28
0
21 Feb 2024
ToDo: Token Downsampling for Efficient Generation of High-Resolution
  Images
ToDo: Token Downsampling for Efficient Generation of High-Resolution Images
Ethan Smith
Nayan Saxena
Aninda Saha
DiffM
45
6
0
21 Feb 2024
Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion
  Models
Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion Models
C. Wu
Fernando de la Torre
DiffM
46
2
0
21 Feb 2024
The Uncanny Valley: A Comprehensive Analysis of Diffusion Models
The Uncanny Valley: A Comprehensive Analysis of Diffusion Models
Karam Ghanem
Danilo Bzdok
DiffM
46
0
0
20 Feb 2024
Synthetic location trajectory generation using categorical diffusion
  models
Synthetic location trajectory generation using categorical diffusion models
Simon Dirmeier
Ye Hong
Fernando Pérez-Cruz
54
0
0
19 Feb 2024
SDiT: Spiking Diffusion Model with Transformer
SDiT: Spiking Diffusion Model with Transformer
Shu Yang
Hanzhi Ma
Chengting Yu
Aili Wang
Er-ping Li
DiffM
43
4
0
18 Feb 2024
Previous
123...212223...515253
Next