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Flow Matching for Generative Modeling

Flow Matching for Generative Modeling

6 October 2022
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
    OOD
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Papers citing "Flow Matching for Generative Modeling"

50 / 256 papers shown
Title
Phantom: Subject-consistent video generation via cross-modal alignment
Phantom: Subject-consistent video generation via cross-modal alignment
Lijie Liu
Tianxiang Ma
Bingchuan Li
Zhuowei Chen
Jiawei Liu
Qian He
Xinglong Wu
Qian He
Xinglong Wu
DiffM
VGen
52
5
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
180
0
0
15 Feb 2025
Imit Diff: Semantics Guided Diffusion Transformer with Dual Resolution Fusion for Imitation Learning
Imit Diff: Semantics Guided Diffusion Transformer with Dual Resolution Fusion for Imitation Learning
Yuhang Dong
Haizhou Ge
Yupei Zeng
Jun Zhang
Beiwen Tian
...
Yufei Jia
Ruixiang Wang
Ran Yi
Guyue Zhou
Longhua Ma
56
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
MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation
MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation
Jinbo Xing
Long Mai
Cusuh Ham
Jiahui Huang
Aniruddha Mahapatra
Chi-Wing Fu
T. Wong
Feng Liu
DiffM
VGen
130
2
0
06 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
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
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
Jiajian Li
Jingyun Liang
Yong Guo
W. J. Li
Yulun Zhang
DiffM
75
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
Density Ratio Estimation with Conditional Probability Paths
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
Arto Klami
Aapo Hyvarinen
Anna Korba
Omar Chehab
67
0
0
04 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
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
Gaojie Lin
Jianwen Jiang
Jiaqi Yang
Zerong Zheng
Chao Liang
DiffM
VGen
185
12
0
03 Feb 2025
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Yang Cao
Zhao Song
Chiwun Yang
VGen
46
2
0
01 Feb 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Tongda Xu
Xiyan Cai
Xuzhi Zhang
Xingtong Ge
Dailan He
Ming Sun
Jingjing Liu
Y. Zhang
Jian Li
Yan Wang
DiffM
120
3
0
31 Jan 2025
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
Chenguo Lin
Panwang Pan
Bangbang Yang
Zeming Li
Yadong Mu
3DGS
76
7
0
28 Jan 2025
Efficient Point Clouds Upsampling via Flow Matching
Z. Liu
Chenhang He
Lei Li
44
1
0
28 Jan 2025
Baichuan-Omni-1.5 Technical Report
Yadong Li
Jiaheng Liu
Tao Zhang
Tao Zhang
Tian Jin
...
Jianhua Xu
Haoze Sun
Mingan Lin
Zenan Zhou
Xin Wu
AuLLM
72
12
0
28 Jan 2025
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement
Junan Zhang
Jing Yang
Zihao Fang
Yansen Wang
Zehua Zhang
Zhuo Wang
Fan Fan
Zhikai Wu
41
3
0
26 Jan 2025
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Zibo Zhao
Zeqiang Lai
Qingxiang Lin
Yunfei Zhao
Haolin Liu
...
Jingwei Huang
Chunchao Guo
Jie Jiang
Jingwei Huang
Chunchao Guo
113
22
0
21 Jan 2025
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching
Hao Xie
Saburo Howard
Guglielmo Mazzola
38
1
0
17 Jan 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models
A General Framework for Inference-time Scaling and Steering of Diffusion Models
R. Singhal
Zachary Horvitz
Ryan Teehan
Mengye Ren
Zhou Yu
Kathleen McKeown
Rajesh Ranganath
DiffM
66
15
0
17 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li
Ronen Basri
Y. Kluger
DiffM
54
2
0
13 Jan 2025
Multi-subject Open-set Personalization in Video Generation
Multi-subject Open-set Personalization in Video Generation
Tsai-Shien Chen
Aliaksandr Siarohin
Willi Menapace
Yuwei Fang
Kwot Sin Lee
Ivan Skorokhodov
Kfir Aberman
Jun-Yan Zhu
Ming Yang
Sergey Tulyakov
DiffM
VGen
69
7
0
10 Jan 2025
ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning
ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning
Yuzhou Huang
Ziyang Yuan
Quande Liu
Qiulin Wang
Xintao Wang
Ruimao Zhang
Pengfei Wan
Di Zhang
Kun Gai
VGen
DiffM
45
10
0
08 Jan 2025
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
Dongmin Park
Sebin Kim
Taehong Moon
Minkyu Kim
Kangwook Lee
Jaewoong Cho
DiffM
CoGe
67
2
0
08 Jan 2025
Local Flow Matching Generative Models
Local Flow Matching Generative Models
Chen Xu
Xiuyuan Cheng
Yao Xie
44
0
0
03 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Daniela de Albuquerque
John Pearson
DiffM
64
0
0
03 Jan 2025
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
Ho Kei Cheng
Masato Ishii
Akio Hayakawa
Takashi Shibuya
A. Schwing
Yuki Mitsufuji
VGen
126
12
0
19 Dec 2024
Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces
Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces
Nianze Tao
OOD
OODD
BDL
108
0
0
16 Dec 2024
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction
Alex Morehead
Jianlin Cheng
OOD
117
2
0
14 Dec 2024
Fast and Robust Visuomotor Riemannian Flow Matching Policy
Fast and Robust Visuomotor Riemannian Flow Matching Policy
Haoran Ding
Noémie Jaquier
Jan Peters
Leonel Rozo
86
2
0
14 Dec 2024
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
Hongyu Chen
Zihan Wang
Xianrui Li
Xingchen Sun
Fangyi Chen
Jiang Liu
Jiadong Wang
Bhiksha Raj
Zicheng Liu
Emad Barsoum
VLM
114
7
0
14 Dec 2024
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
Gaoxiang Cong
Jiadong Pan
Liang-Sheng Li
Yuankai Qi
Yuxin Peng
Anton Van Den Hengel
Jian Yang
Qingming Huang
92
6
0
12 Dec 2024
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
Zilyu Ye
Zhiyang Chen
Tiancheng Li
Zemin Huang
Weijian Luo
Guo-jun Qi
DiffM
83
5
0
02 Dec 2024
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
Shufan Li
Konstantinos Kallidromitis
Akash Gokul
Zichun Liao
Yusuke Kato
Kazuki Kozuka
Aditya Grover
VGen
95
5
0
02 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue
Jinouwen Zhang
Yazhe Niu
Dazhong Shen
Bingqi Ma
Yu Liu
Jing Yang
80
0
0
29 Nov 2024
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding
Jungbin Cho
Junwan Kim
Jisoo Kim
Minseo Kim
Mingu Kang
S. Hong
Tae-Hyun Oh
Youngjae Yu
VGen
94
1
0
29 Nov 2024
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
Bastian Wittmann
Yannick Wattenberg
Tamaz Amiranashvili
Suprosanna Shit
Bjoern H. Menze
86
3
0
26 Nov 2024
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
Hyojun Go
Byeongjun Park
Jiho Jang
Jin-Young Kim
Soonwoo Kwon
Changick Kim
3DGS
116
2
0
25 Nov 2024
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing
P. Xu
Boyuan Jiang
Xiaobin Hu
Donghao Luo
Q. He
Jun Zhang
Chengjie Wang
Yunsheng Wu
Charles Ling
Boyu Wang
95
2
0
24 Nov 2024
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao
Shaoyu Chen
Haoran Yin
Bo Jiang
Cheng Wang
...
Xinbang Zhang
Xiangyu Li
Y. Zhang
Qian Zhang
Xinggang Wang
107
16
0
22 Nov 2024
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Zhiwei Jia
Yuesong Nan
Huixi Zhao
Gengdai Liu
EGVM
91
0
0
22 Nov 2024
LaVin-DiT: Large Vision Diffusion Transformer
Zhaoqing Wang
Xiaobo Xia
Runnan Chen
Dongdong Yu
Changhu Wang
Mingming Gong
Tongliang Liu
92
6
0
18 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation
Hao Phung
Quan Dao
T. Dao
Hoang Phan
Dimitris Metaxas
Anh Tran
Mamba
67
4
0
06 Nov 2024
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
Tariq Berrada Ifriqi
Pietro Astolfi
Melissa Hall
Reyhane Askari Hemmat
Yohann Benchetrit
...
Matthew Muckley
Karteek Alahari
Adriana Romero Soriano
Jakob Verbeek
M. Drozdzal
AI4CE
VLM
62
2
0
05 Nov 2024
Generative Unfolding with Distribution Mapping
Generative Unfolding with Distribution Mapping
A. Butter
S. Diefenbacher
Nathan Huetsch
Vinicius Mikuni
Benjamin Nachman
Sofia Palacios Schweitzer
Tilman Plehn
DiffM
41
1
0
04 Nov 2024
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
Deok-Hyeon Cho
Hyung-Seok Oh
Seung-Bin Kim
Seong-Whan Lee
46
4
0
04 Nov 2024
Wasserstein Flow Matching: Generative modeling over families of distributions
Wasserstein Flow Matching: Generative modeling over families of distributions
Doron Haviv
Aram-Alexandre Pooladian
D. Pe’er
Brandon Amos
OOD
37
0
0
01 Nov 2024
ReMatching Dynamic Reconstruction Flow
ReMatching Dynamic Reconstruction Flow
Sara Oblak
Despoina Paschalidou
Sanja Fidler
Matan Atzmon
41
0
0
01 Nov 2024
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction
Yanshuo Chen
Zhengmian Hu
Wei Chen
Heng Huang
OT
55
2
0
01 Nov 2024
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