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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
$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete
  Diffusion Models
Jump Your Steps\textit{Jump Your Steps}Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
Yong-Hyun Park
Chieh-Hsin Lai
Satoshi Hayakawa
Yuhta Takida
Yuki Mitsufuji
93
7
0
10 Oct 2024
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image
  Animation
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
Jiahao Cui
Hui Li
Yao Yao
Hao Zhu
Hanlin Shang
Kaihui Cheng
Hang Zhou
Siyu Zhu
Jingdong Wang
DiffMVGen
108
29
0
10 Oct 2024
FLIER: Few-shot Language Image Models Embedded with Latent
  Representations
FLIER: Few-shot Language Image Models Embedded with Latent Representations
Zhinuo Zhou
Peng Zhou
Xiaoyong Pan
VLM
40
0
0
10 Oct 2024
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow
  Transformers with Projected Flow
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow
Ruoyi Du
Dongyang Liu
Le Zhuo
Qin Qi
Hongsheng Li
Zhanyu Ma
Peng Gao
93
2
0
10 Oct 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
Xiaoxiao He
Ligong Han
Quan Dao
Song Wen
Minhao Bai
...
Hongdong Li
Junzhou Huang
Faez Ahmed
Akash Srivastava
Dimitris Metaxas
DiffMSyDa
159
5
0
10 Oct 2024
Progressive Autoregressive Video Diffusion Models
Progressive Autoregressive Video Diffusion Models
Desai Xie
Zhan Xu
Yicong Hong
Hao Tan
Difan Liu
Feng Liu
Arie E. Kaufman
Yang Zhou
DiffMVGen
127
15
0
10 Oct 2024
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Fu-Yun Wang
Ling Yang
Zhaoyang Huang
Mengdi Wang
Hongsheng Li
82
21
0
09 Oct 2024
Diffusion Density Estimators
Diffusion Density Estimators
Akhil Premkumar
59
1
0
09 Oct 2024
MimicTalk: Mimicking a personalized and expressive 3D talking face in
  minutes
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes
Zhenhui Ye
Tianyun Zhong
Yi Ren
Ziyue Jiang
Jiawei Huang
...
Chen Zhang
Zehan Wang
Xize Chen
Xiang Yin
Zhou Zhao
VGen
89
5
0
09 Oct 2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf
  Generation Techniques
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
Benyuan Meng
Qianqian Xu
Zitai Wang
Zhiyong Yang
Xiaochun Cao
Qingming Huang
96
0
0
09 Oct 2024
G2D2: Gradient-guided Discrete Diffusion for image inverse problem
  solving
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
Naoki Murata
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Bac Nguyen
Stefano Ermon
Yuki Mitsufuji
DiffM
104
2
0
09 Oct 2024
InstantIR: Blind Image Restoration with Instant Generative Reference
InstantIR: Blind Image Restoration with Instant Generative Reference
Jen-Yuan Huang
Haofan Wang
Qixun Wang
Xu Bai
Hao Ai
Peng-Fei Xing
Jen-tse Huang
45
1
0
09 Oct 2024
SRC-gAudio: Sampling-Rate-Controlled Audio Generation
SRC-gAudio: Sampling-Rate-Controlled Audio Generation
Chenxing Li
Manjie Xu
Dong Yu
DiffM
53
0
0
09 Oct 2024
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster
  Speed, and Higher Resolution
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution
Haoyang Li
Zhouhui Lian
101
2
0
09 Oct 2024
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
Yushen Chen
Zhikang Niu
Ziyang Ma
Keqi Deng
Chunhui Wang
Jian Zhao
Kai Yu
Xie Chen
145
92
0
09 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Sihang Li
Congcong Wen
Hui Lin
Xiang Wang
136
3
0
09 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
196
102
0
09 Oct 2024
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Xinchen Zhang
Ling Yang
Ge Li
Yaqi Cai
Jiake Xie
Yong Tang
Yujiu Yang
Mengdi Wang
Bin Cui
EGVMCoGe
113
11
0
09 Oct 2024
EventFlow: Forecasting Temporal Point Processes with Flow Matching
EventFlow: Forecasting Temporal Point Processes with Flow Matching
Gavin Kerrigan
Kai Nelson
Padhraic Smyth
AI4TS
70
0
0
09 Oct 2024
Mirror Bridges Between Probability Measures
Mirror Bridges Between Probability Measures
Leticia Mattos Da Silva
Silvia Sellán
Francisco Vargas
Justin Solomon
OOD
75
0
0
09 Oct 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Qianli Ma
Xuefei Ning
Dongrui Liu
Li Niu
Linfeng Zhang
MoMe
122
0
0
09 Oct 2024
Story-Adapter: A Training-free Iterative Framework for Long Story
  Visualization
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Jiawei Mao
Xiaoke Huang
Yunfei Xie
Yuanqi Chang
Mude Hui
Bingjie Xu
Yuyin Zhou
VGenDiffM
119
4
0
08 Oct 2024
SD-$π$XL: Generating Low-Resolution Quantized Imagery via Score
  Distillation
SD-πππXL: Generating Low-Resolution Quantized Imagery via Score Distillation
Alexandre Binninger
O. Sorkine-Hornung
93
1
0
08 Oct 2024
FINALLY: fast and universal speech enhancement with studio-like quality
FINALLY: fast and universal speech enhancement with studio-like quality
Nicholas Babaev
Kirill Tamogashev
Azat Saginbaev
Ivan Shchekotov
Hanbin Bae
Hosang Sung
WonJun Lee
Hoon-Young Cho
Pavel Andreev
123
5
0
08 Oct 2024
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
Enrico Ventura
Beatrice Achilli
Gianluigi Silvestri
Carlo Lucibello
L. Ambrogioni
DiffM
135
10
0
08 Oct 2024
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through
  Data, Reward, and Conditional Guidance Design
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design
Jiachen Li
Qian Long
Jian Zheng
Xiaofeng Gao
Robinson Piramuthu
Wenhu Chen
William Yang Wang
VGen
128
26
0
08 Oct 2024
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Byoungwoo Park
Hyungi Lee
Juho Lee
AI4TS
213
1
0
08 Oct 2024
Think While You Generate: Discrete Diffusion with Planned Denoising
Think While You Generate: Discrete Diffusion with Planned Denoising
Sulin Liu
Juno Nam
Andrew Campbell
Hannes Stärk
Yilun Xu
Tommi Jaakkola
Rafael Gómez-Bombarelli
DiffM
150
12
0
08 Oct 2024
Pyramidal Flow Matching for Efficient Video Generative Modeling
Pyramidal Flow Matching for Efficient Video Generative Modeling
Yang Jin
Zhicheng Sun
Ningyuan Li
Kun Xu
K. Xu
...
Nan Zhuang
Quzhe Huang
Yang Song
Yadong Mu
Zhouchen Lin
VGen
168
87
0
08 Oct 2024
Training-free Diffusion Model Alignment with Sampling Demons
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh
Kuang-Huei Lee
Jun-Cheng Chen
100
9
0
08 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
76
0
0
07 Oct 2024
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side
  Information
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information
Timofey Efimov
Harry Dong
M. Shah
Jeff P. Simmons
S. Donegan
Yuejie Chi
DiffMMedIm
45
0
0
07 Oct 2024
OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal
  Instruction
OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction
Leheng Li
Weichao Qiu
Xu Yan
Jing He
Kaiqiang Zhou
Yingjie Cai
Qing Lian
Bingbing Liu
Ying-Cong Chen
SyDaDiffM
85
1
0
07 Oct 2024
A Planar-Symmetric SO(3) Representation for Learning Grasp Detection
A Planar-Symmetric SO(3) Representation for Learning Grasp Detection
Tianyi Ko
Takuya Ikeda
Hiroya Sato
Koichi Nishiwaki
68
1
0
07 Oct 2024
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion
  Correction
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction
Hyungjin Chung
Dohun Lee
Jong Chul Ye
VGenDiffM
68
2
0
07 Oct 2024
Diffusion Models in 3D Vision: A Survey
Diffusion Models in 3D Vision: A Survey
Zhen Wang
Dongyuan Li
Xue Liu
Tianyu He
Jiang Bian
Renhe Jiang
MedIm
254
4
0
07 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation
Presto! Distilling Steps and Layers for Accelerating Music Generation
Cheng-i Wang
Ge Zhu
Jonah Casebeer
Julian McAuley
Taylor Berg-Kirkpatrick
Nicholas J. Bryan
128
7
0
07 Oct 2024
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
Zhiyu Zhu
Jinhui Hou
Hui Liu
H. Zeng
Junhui Hou
81
0
0
07 Oct 2024
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
Ayano Hiranaka
Shang-Fu Chen
Chieh-Hsin Lai
Dongjun Kim
Naoki Murata
Takashi Shibuya
Wei-Hsiang Liao
Shao-Hua Sun
Yuki Mitsufuji
126
2
0
07 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models
Continuous Ensemble Weather Forecasting with Diffusion models
Martin Andrae
Tomas Landelius
Joel Oskarsson
Fredrik Lindsten
AI4Cl
92
4
0
07 Oct 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of
  Consistency and Progress
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
Christopher Agia
Rohan Sinha
Jingyun Yang
Zi-ang Cao
Rika Antonova
Marco Pavone
Jeannette Bohg
94
9
0
06 Oct 2024
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video
  Synthesis
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
Shitong Shao
Zikai Zhou
Lichen Bai
Haoyi Xiong
Zeke Xie
VGen
97
2
0
05 Oct 2024
Online Posterior Sampling with a Diffusion Prior
Online Posterior Sampling with a Diffusion Prior
Branislav Kveton
Boris Oreshkin
Youngsuk Park
Aniket Deshmukh
Rui Song
DiffM
60
0
0
04 Oct 2024
Estimating Body and Hand Motion in an Ego-sensed World
Estimating Body and Hand Motion in an Ego-sensed World
Brent Yi
Vickie Ye
Maya Zheng
Lea Müller
Georgios Pavlakos
Yi Ma
Jitendra Malik
Angjoo Kanazawa
DiffM
90
8
0
04 Oct 2024
Real-World Benchmarks Make Membership Inference Attacks Fail on
  Diffusion Models
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models
Chumeng Liang
Jiaxuan You
88
0
0
04 Oct 2024
Not All Diffusion Model Activations Have Been Evaluated as
  Discriminative Features
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
Benyuan Meng
Qianqian Xu
Zitai Wang
Xiaochun Cao
Qingming Huang
91
7
0
04 Oct 2024
VEDIT: Latent Prediction Architecture For Procedural Video
  Representation Learning
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
Han Lin
Tushar Nagarajan
Nicolas Ballas
Mido Assran
Mojtaba Komeili
Joey Tianyi Zhou
Koustuv Sinha
AI4TS
112
5
0
04 Oct 2024
Linear Transformer Topological Masking with Graph Random Features
Linear Transformer Topological Masking with Graph Random Features
Isaac Reid
Kumar Avinava Dubey
Deepali Jain
Will Whitney
Amr Ahmed
...
Connor Schenck
Richard E. Turner
René Wagner
Adrian Weller
Krzysztof Choromanski
87
1
0
04 Oct 2024
Dynamic Diffusion Transformer
Dynamic Diffusion Transformer
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Yibing Song
Gao Huang
Fan Wang
Yang You
128
15
0
04 Oct 2024
Latent Abstractions in Generative Diffusion Models
Latent Abstractions in Generative Diffusion Models
Giulio Franzese
Mattia Martini
Giulio Corallo
Paolo Papotti
Pietro Michiardi
DiffM
63
0
0
04 Oct 2024
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