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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 / 238 papers shown
Title
G-DReaM: Graph-conditioned Diffusion Retargeting across Multiple Embodiments
G-DReaM: Graph-conditioned Diffusion Retargeting across Multiple Embodiments
Zhefeng Cao
Ben Liu
S. Li
Wei Zhang
Hua Chen
DiffM
83
0
0
27 May 2025
Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift
Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift
Gihoon Kim
Hyungjin Park
Taesup Kim
DiffM
VLM
141
0
0
26 May 2025
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
Chen-Hao Chao
Wei-Fang Sun
Hanwen Liang
Chun-Yi Lee
Rahul G. Krishnan
DiffM
368
0
0
24 May 2025
Rethinking Direct Preference Optimization in Diffusion Models
Rethinking Direct Preference Optimization in Diffusion Models
Junyong Kang
Seohyun Lim
Kyungjune Baek
Hyunjung Shim
754
0
0
24 May 2025
dKV-Cache: The Cache for Diffusion Language Models
dKV-Cache: The Cache for Diffusion Language Models
Xinyin Ma
Runpeng Yu
Gongfan Fang
Xinchao Wang
DiffM
91
1
0
21 May 2025
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Jeffrey Alido
Tongyu Li
Yu Sun
Lei Tian
DiffM
MedIm
63
0
0
15 May 2025
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
Hongkun Dou
Zeyu Li
Xingyu Jiang
Haoyang Li
Lijun Yang
Wen Yao
Yue Deng
DiffM
219
0
0
12 May 2025
Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information
Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information
Zhenzhou Jin
Li You
Derrick Wing Kwan Ng
Xiang-Gen Xia
Xiqi Gao
82
2
0
11 May 2025
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
Dhruvesh Patel
Aishwarya Sahoo
Avinash Amballa
Tahira Naseem
Tim G. J. Rudner
Andrew McCallum
KELM
88
0
0
09 May 2025
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
Sagnik Bhattacharya
Abhiram Gorle
Ahmed Mohsin
Ahsan Bilal
Connor Ding
Amit Kumar Singh Yadav
DiffM
194
1
0
08 May 2025
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
Javier E. Santos
Agnese Marcato
Roman Colman
Nicholas Lubbers
Yen Ting Lin
154
0
0
03 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Nishant Jain
Xunpeng Huang
Yian Ma
Tong Zhang
80
0
0
02 May 2025
Novel Concept-Oriented Synthetic Data approach for Training Generative AI-Driven Crystal Grain Analysis Using Diffusion Model
Novel Concept-Oriented Synthetic Data approach for Training Generative AI-Driven Crystal Grain Analysis Using Diffusion Model
Ahmed Sobhi Saleh
Kristof Croes
Hajdin Ceric
Ingrid De Wolf
Houman Zahedmanesh
DiffM
64
0
0
21 Apr 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J. Havens
Benjamin Kurt Miller
Bing Yan
Carles Domingo-Enrich
Anuroop Sriram
...
Brandon Amos
Brian Karrer
Xiang Fu
Guan-Horng Liu
Ricky T. Q. Chen
DiffM
125
2
0
16 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models
Generalization through variance: how noise shapes inductive biases in diffusion models
John J. Vastola
DiffM
437
4
0
16 Apr 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak
Tamaz Amiranashvili
Suprosanna Shit
Antonio Terpin
Lea Bogensperger
Sebastian Kaltenbach
Petros Koumoutsakos
Bjoern Menze
DiffM
104
3
0
14 Apr 2025
Probability Density Geodesics in Image Diffusion Latent Space
Probability Density Geodesics in Image Diffusion Latent Space
Qingtao Yu
Jaskirat Singh
Zhaoyuan Yang
Peter Tu
Jing Zhang
Hongdong Li
Richard Hartley
Dylan Campbell
DiffM
112
1
0
09 Apr 2025
Gaussian Mixture Flow Matching Models
Gaussian Mixture Flow Matching Models
Hansheng Chen
Kai Zhang
Hao Tan
Zexiang Xu
Fujun Luan
Leonidas Guibas
Gordon Wetzstein
Sai Bi
DiffM
108
2
0
07 Apr 2025
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
Yikai Wang
Guangce Liu
Xinzhou Wang
Zilong Chen
Jiafang Li
Xin Liang
F. Sun
J. Zhu
3DGS
VGen
95
0
0
05 Apr 2025
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
188
1
0
02 Apr 2025
A Theory of Machine Understanding via the Minimum Description Length Principle
A Theory of Machine Understanding via the Minimum Description Length Principle
Canlin Zhang
Xiuwen Liu
107
0
0
01 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
Rana Muhammad Shahroz Khan
Dongwen Tang
Pingzhi Li
Kai Wang
Tianlong Chen
AI4CE
469
0
0
31 Mar 2025
Debiasing Kernel-Based Generative Models
Debiasing Kernel-Based Generative Models
Tian Qin
Wei-Min Huang
165
0
0
26 Mar 2025
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
Prin Phunyaphibarn
Phillip Y. Lee
Jaihoon Kim
Minhyuk Sung
DiffM
149
0
0
26 Mar 2025
Advances in 4D Generation: A Survey
Advances in 4D Generation: A Survey
Qiaowei Miao
Kehan Li
Jinsheng Quan
Zhiyuan Min
Shaojie Ma
Yichao Xu
Yi Yang
Yawei Luo
136
1
0
18 Mar 2025
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
Daniil Selikhanovych
David Li
Aleksei Leonov
Nikita Gushchin
Sergei Kushneriuk
Alexander N. Filippov
Evgeny Burnaev
Iaroslav Koshelev
Alexander Korotin
DiffM
120
0
0
17 Mar 2025
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
Tsu-Jui Fu
Yusu Qian
Chen Chen
Wenze Hu
Zhe Gan
Yue Yang
181
2
0
16 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
188
0
0
16 Mar 2025
VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction
VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction
Zijian He
Yuwei Ning
Yipeng Qin
Wangrun Wang
Sibei Yang
Liang Lin
G. Li
126
1
0
15 Mar 2025
Controllable Latent Diffusion for Traffic Simulation
Controllable Latent Diffusion for Traffic Simulation
Yizhuo Xiao
Mustafa Suphi Erden
Cheng Wang
72
0
0
14 Mar 2025
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
Kyle Sargent
Kyle Hsu
Justin Johnson
L. Fei-Fei
Jiajun Wu
DiffM
MU
128
6
0
14 Mar 2025
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion
Evgeniia Vu
Andrei Boiarov
Dmitry Vetrov
VGen
82
0
0
13 Mar 2025
FlowTok: Flowing Seamlessly Across Text and Image Tokens
FlowTok: Flowing Seamlessly Across Text and Image Tokens
Ju He
Qihang Yu
Qihao Liu
Liang-Chieh Chen
113
1
0
13 Mar 2025
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
154
34
0
13 Mar 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
Reza Shirkavand
Peiran Yu
Shangqian Gao
Gowthami Somepalli
Tom Goldstein
Heng-Chiao Huang
161
2
0
13 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola
Aaron Gokaslan
Justin T Chiu
Zhihan Yang
Zhixuan Qi
Jiaqi Han
Subham Sekhar Sahoo
Volodymyr Kuleshov
DiffM
226
16
0
12 Mar 2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Tianyu Chen
Yasi Zhang
Ziyi Wang
Ying Nian Wu
Oscar Leong
Mingyuan Zhou
DiffM
115
2
0
10 Mar 2025
TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
Victor Shea-Jay Huang
Le Zhuo
Yi Xin
Zhaokai Wang
Peng Gao
Hongsheng Li
DiffM
145
1
0
10 Mar 2025
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
Chaitanya K. Joshi
Xiang Fu
Yi-Lun Liao
Vahe Gharakhanyan
Benjamin Kurt Miller
Anuroop Sriram
Zachary W. Ulissi
DiffM
162
8
0
05 Mar 2025
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty
Yao Wang
Mingxuan Cui
Arthur Jiang
119
0
0
03 Mar 2025
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev
Zorah Lähner
Vladislav Golyanik
DiffM
125
1
0
03 Mar 2025
Split Gibbs Discrete Diffusion Posterior Sampling
Split Gibbs Discrete Diffusion Posterior Sampling
Wenda Chu
Zihui Wu
Yifan Chen
Yang Song
Yisong Yue
62
2
0
03 Mar 2025
Remasking Discrete Diffusion Models with Inference-Time Scaling
Remasking Discrete Diffusion Models with Inference-Time Scaling
Guanghan Wang
Yair Schiff
Subham Sekhar Sahoo
Volodymyr Kuleshov
DiffM
125
13
0
01 Mar 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Sucheng Ren
Qihang Yu
Ju He
Xiaohui Shen
Alan Yuille
Liang-Chieh Chen
VGen
161
9
0
27 Feb 2025
Text-to-Image Rectified Flow as Plug-and-Play Priors
Text-to-Image Rectified Flow as Plug-and-Play Priors
Xiaofeng Yang
Cheng Chen
Xulei Yang
Fayao Liu
Guosheng Lin
DiffM
107
7
0
21 Feb 2025
On Memorization in Diffusion Models
On Memorization in Diffusion Models
Xiangming Gu
Chao Du
Tianyu Pang
Chongxuan Li
Min Lin
Ye Wang
DiffM
TDI
320
52
0
21 Feb 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Jean-Baptiste Bouvier
Kanghyun Ryu
Kartik Nagpal
Qiayuan Liao
Koushil Sreenath
Negar Mehr
152
2
0
20 Feb 2025
Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
Yunzhe Hu
Difan Zou
Dong Xu
97
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
102
1
0
17 Feb 2025
Single-Step Consistent Diffusion Samplers
Single-Step Consistent Diffusion Samplers
Pascal Jutras-Dubé
Patrick Pynadath
Ruqi Zhang
DiffM
127
0
0
17 Feb 2025
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