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Flow Matching for Generative Modeling
v1v2 (latest)

Flow Matching for Generative Modeling

International Conference on Learning Representations (ICLR), 2022
6 October 2022
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
    OOD
ArXiv (abs)PDFHTMLHuggingFace (3 upvotes)

Papers citing "Flow Matching for Generative Modeling"

50 / 1,863 papers shown
Learning Diffusion Priors from Observations by Expectation Maximization
Learning Diffusion Priors from Observations by Expectation MaximizationNeural Information Processing Systems (NeurIPS), 2024
Sacha Lewin
Gérome Andry
F. Lanusse
Gilles Louppe
DiffM
345
39
0
22 May 2024
One-step data-driven generative model via Schrödinger Bridge
One-step data-driven generative model via Schrödinger Bridge
Hanwen Huang
DiffM
209
4
0
21 May 2024
Switched Flow Matching: Eliminating Singularities via Switching ODEs
Switched Flow Matching: Eliminating Singularities via Switching ODEsInternational Conference on Machine Learning (ICML), 2024
Qunxi Zhu
Wei Lin
292
2
0
19 May 2024
Faces that Speak: Jointly Synthesising Talking Face and Speech from Text
Faces that Speak: Jointly Synthesising Talking Face and Speech from TextComputer Vision and Pattern Recognition (CVPR), 2024
Youngjoon Jang
Ji-Hoon Kim
Junseok Ahn
Doyeop Kwak
Hong-Sun Yang
Yooncheol Ju
Il-Hwan Kim
Byeong-Yeol Kim
Joon Son Chung
CVBM
223
20
0
16 May 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
Hanshu Yan
Xingchao Liu
Jiachun Pan
Jun Hao Liew
Qiang Liu
Jiashi Feng
566
73
0
13 May 2024
Deep MMD Gradient Flow without adversarial training
Deep MMD Gradient Flow without adversarial training
Alexandre Galashov
Valentin De Bortoli
Arthur Gretton
DiffM
233
10
0
10 May 2024
Lumina-T2X: Transforming Text into Any Modality, Resolution, and
  Duration via Flow-based Large Diffusion Transformers
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers
Shiyang Feng
Le Zhuo
Ziyi Lin
Ruoyi Du
Xu Luo
...
Weicai Ye
He Tong
Jingwen He
Yu Qiao
Jiaming Song
VGen
334
124
0
09 May 2024
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Yeqi Gao
Yuzhou Gu
Zhao Song
400
1
0
09 May 2024
Imagine Flash: Accelerating Emu Diffusion Models with Backward
  Distillation
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation
Jonas Kohler
Albert Pumarola
Edgar Schönfeld
A. Sanakoyeu
Roshan Sumbaly
Peter Vajda
Ali K. Thabet
261
34
0
08 May 2024
Video Diffusion Models: A Survey
Video Diffusion Models: A Survey
Andrew Melnik
Michal Ljubljanac
Cong Lu
Qi Yan
Weiming Ren
Helge J. Ritter
VGen
337
36
0
06 May 2024
Liouville Flow Importance Sampler
Liouville Flow Importance SamplerInternational Conference on Machine Learning (ICML), 2024
Yifeng Tian
Nishant Panda
Yen Ting Lin
288
19
0
03 May 2024
F$^3$low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3)
  Guided Flow Matching
F3^33low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3) Guided Flow Matching
Shaoning Li
Yusong Wang
Mingyu Li
Jian Zhang
Jia Zhang
Nanning Zheng
Jian Tang
141
7
0
01 May 2024
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule
  Generation
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation
Ian Dunn
D. Koes
BDLDiffM
269
30
0
30 Apr 2024
Fake it to make it: Using synthetic data to remedy the data shortage in
  joint multimodal speech-and-gesture synthesis
Fake it to make it: Using synthetic data to remedy the data shortage in joint multimodal speech-and-gesture synthesis
Shivam Mehta
Anna Deichler
Jim O'Regan
Birger Moëll
Jonas Beskow
G. Henter
Simon Alexanderson
236
8
0
30 Apr 2024
MicroDreamer: Zero-shot 3D Generation in $\sim$20 Seconds by Score-based
  Iterative Reconstruction
MicroDreamer: Zero-shot 3D Generation in ∼\sim∼20 Seconds by Score-based Iterative Reconstruction
Luxi Chen
Zhengyi Wang
Zihan Zhou
Tingting Gao
Hang Su
Jun Zhu
Chongxuan Li
DiffM3DGS
213
2
0
30 Apr 2024
The Landscape of Unfolding with Machine Learning
The Landscape of Unfolding with Machine Learning
Nathan Huetsch
Javier Marino Villadamigo
Alexander Shmakov
Yuan-Tang Chou
Vinicius Mikuni
...
Kevin Greif
Benjamin Nachman
D. Whiteson
A. Butter
Tilman Plehn
365
26
0
29 Apr 2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Amirmojtaba Sabour
Sanja Fidler
Karsten Kreis
DiffM
211
58
0
22 Apr 2024
Accelerating Image Generation with Sub-path Linear Approximation Model
Accelerating Image Generation with Sub-path Linear Approximation Model
Chen Xu
Tian-Shu Song
Weixin Feng
Xubin Li
Bangyu Xiang
Bo Zheng
Limin Wang
271
15
0
22 Apr 2024
Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
Dohoon Lee
Jaehyun Park
Hyunwoo J. Kim
Kyogu Lee
386
0
0
22 Apr 2024
React-OT: Optimal Transport for Generating Transition State in Chemical
  Reactions
React-OT: Optimal Transport for Generating Transition State in Chemical Reactions
Chenru Duan
Guan-Horng Liu
Yuanqi Du
Tianrong Chen
Qiyuan Zhao
Haojun Jia
Daniel Schwalbe-Koda
Evangelos A. Theodorou
Heather J. Kulik
OT
220
4
0
20 Apr 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh
Dmitry Vetrov
C. A. Naesseth
DiffM
395
28
0
19 Apr 2024
Neural Shrödinger Bridge Matching for Pansharpening
Neural Shrödinger Bridge Matching for Pansharpening
Zihan Cao
Xiao Wu
Liang-Jian Deng
DiffM
252
2
0
17 Apr 2024
PROflow: An iterative refinement model for PROTAC-induced structure
  prediction
PROflow: An iterative refinement model for PROTAC-induced structure prediction
Yiran Zhou
Wenxian Shi
Yuxuan Song
Menghua Wu
141
2
0
10 Apr 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like
  Multi-talker Conversations
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker ConversationsNeural Information Processing Systems (NeurIPS), 2024
Leying Zhang
Yao Qian
Long Zhou
Shujie Liu
Dongmei Wang
...
Yanmin Qian
Jinyu Li
Lei He
Sheng Zhao
Michael Zeng
243
16
0
10 Apr 2024
Resistive Memory-based Neural Differential Equation Solver for
  Score-based Diffusion Model
Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model
Jichang Yang
Hegan Chen
Jia Chen
Song-jian Wang
Shaocong Wang
...
Dashan Shang
Han Wang
Qi Liu
Kwang-Ting Cheng
Ming-Yuan Liu
DiffM
197
1
0
08 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
OT
516
22
0
05 Apr 2024
Score identity Distillation: Exponentially Fast Distillation of
  Pretrained Diffusion Models for One-Step Generation
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Mingyuan Zhou
Huangjie Zheng
Zhendong Wang
Mingzhang Yin
Hai Huang
DiffM
388
137
0
05 Apr 2024
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot
  Text-to-Speech
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-SpeechInternational Conference on Learning Representations (ICLR), 2024
Jaehyeon Kim
Keon Lee
Seungjun Chung
Jaewoong Cho
219
62
0
03 Apr 2024
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion ModelComputer Vision and Pattern Recognition (CVPR), 2024
Xu He
Qiaochu Huang
Zhensong Zhang
Zhiwei Lin
Zhiyong Wu
Sicheng Yang
Minglei Li
Zhiyi Chen
Songcen Xu
Xiaofei Wu
195
28
0
02 Apr 2024
LayoutFlow: Flow Matching for Layout Generation
LayoutFlow: Flow Matching for Layout Generation
Julian Jorge Andrade Guerreiro
Naoto Inoue
Kento Masui
Mayu Otani
Hideki Nakayama
DiffM
270
18
0
27 Mar 2024
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching
Jannis Chemseddine
Paul Hagemann
Gabriele Steidl
Christian Wald
461
24
0
27 Mar 2024
Improving Diffusion Models's Data-Corruption Resistance using Scheduled
  Pseudo-Huber Loss
Improving Diffusion Models's Data-Corruption Resistance using Scheduled Pseudo-Huber Loss
Artem Khrapov
Vadim Popov
Tasnima Sadekova
Assel Yermekova
Mikhail Kudinov
DiffM
223
4
0
25 Mar 2024
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes
Raza Yunus
J. E. Lenssen
Michael Niemeyer
Yiyi Liao
Christian Rupprecht
Christian Theobalt
Gerard Pons-Moll
Jia-Bin Huang
Vladislav Golyanik
Eddy Ilg
353
39
0
22 Mar 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
Vincent Tao Hu
S. A. Baumann
Ming Gui
Olga Grebenkova
Pingchuan Ma
Johannes S. Fischer
Bjorn Ommer
351
93
0
20 Mar 2024
DepthFM: Fast Monocular Depth Estimation with Flow Matching
DepthFM: Fast Monocular Depth Estimation with Flow Matching
Ming Gui
Johannes S. Fischer
Ulrich Prestel
Pingchuan Ma
Dmytro Kotovenko
Olga Grebenkova
S. A. Baumann
Vincent Tao Hu
Bjorn Ommer
MDE
341
80
0
20 Mar 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer
  Processes
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Yifan Chen
Mark Goldstein
Mengjian Hua
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
AI4TS
344
35
0
20 Mar 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
Nikita Kornilov
Petr Mokrov
Alexander Gasnikov
Alexander Korotin
245
35
0
19 Mar 2024
AnimateDiff-Lightning: Cross-Model Diffusion Distillation
AnimateDiff-Lightning: Cross-Model Diffusion Distillation
Shanchuan Lin
Xiao Yang
DiffMVGen
207
40
0
19 Mar 2024
Generalized Consistency Trajectory Models for Image Manipulation
Generalized Consistency Trajectory Models for Image ManipulationInternational Conference on Learning Representations (ICLR), 2024
Beomsu Kim
Jaemin Kim
Jeongsol Kim
Jong Chul Ye
DiffM
367
7
0
19 Mar 2024
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion
  Distillation
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion DistillationACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024
Axel Sauer
Frederic Boesel
Tim Dockhorn
A. Blattmann
Patrick Esser
Robin Rombach
DiffM
347
217
0
18 Mar 2024
Understanding Diffusion Models by Feynman's Path Integral
Understanding Diffusion Models by Feynman's Path Integral
Yuji Hirono
A. Tanaka
Kenji Fukushima
DiffM
157
9
0
17 Mar 2024
Efficient Trajectory Forecasting and Generation with Conditional Flow
  Matching
Efficient Trajectory Forecasting and Generation with Conditional Flow Matching
Sean Ye
Matthew C. Gombolay
260
5
0
16 Mar 2024
Riemannian Flow Matching Policy for Robot Motion Learning
Riemannian Flow Matching Policy for Robot Motion Learning
Max Braun
Noémie Jaquier
Leonel Rozo
Tamim Asfour
246
38
0
15 Mar 2024
Efficient Diffusion Model for Image Restoration by Residual Shifting
Efficient Diffusion Model for Image Restoration by Residual ShiftingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zongsheng Yue
Jianyi Wang
Chen Change Loy
DiffM
351
64
0
12 Mar 2024
Multistep Consistency Models
Multistep Consistency Models
Jonathan Heek
Emiel Hoogeboom
Tim Salimans
245
56
0
11 Mar 2024
Improving Diffusion-Based Generative Models via Approximated Optimal
  Transport
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
Daegyu Kim
Jooyoung Choi
Chaehun Shin
Uiwon Hwang
Sungroh Yoon
OT
198
3
0
08 Mar 2024
RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction
RFWave: Multi-band Rectified Flow for Audio Waveform ReconstructionInternational Conference on Learning Representations (ICLR), 2024
Peng Liu
Dongyang Dai
Zhiyong Wu
416
11
0
08 Mar 2024
Stabilizing Policy Gradients for Stochastic Differential Equations via
  Consistency with Perturbation Process
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
Xiangxin Zhou
Liang Wang
Yichi Zhou
DiffM
196
7
0
07 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
2.2K
2,698
0
05 Mar 2024
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose
  Priors
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
Yannan He
Garvita Tiwari
Tolga Birdal
J. E. Lenssen
Gerard Pons-Moll
375
19
0
05 Mar 2024
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