Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2210.02747
Cited By
v1
v2 (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
Re-assign community
ArXiv (abs)
PDF
HTML
HuggingFace (3 upvotes)
Papers citing
"Flow Matching for Generative Modeling"
50 / 1,864 papers shown
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
Yannan He
Garvita Tiwari
Tolga Birdal
J. E. Lenssen
Gerard Pons-Moll
378
21
0
05 Mar 2024
PPFlow: Target-aware Peptide Design with Torsional Flow Matching
Haitao Lin
Odin Zhang
Huifeng Zhao
Dejun Jiang
Lirong Wu
Zicheng Liu
Yufei Huang
Stan Z. Li
305
25
0
05 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models
B. Fesl
Benedikt Bock
Florian Strasser
Michael Baur
M. Joham
Wolfgang Utschick
DiffM
434
9
0
05 Mar 2024
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
Neta Shaul
Uriel Singer
Ricky T. Q. Chen
Matt Le
Ali K. Thabet
Albert Pumarola
Y. Lipman
DiffM
167
6
0
02 Mar 2024
Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation
Noboru Isobe
Masanori Koyama
Jinzhe Zhang
Kunihiko Miyoshi
Kenji Fukumizu
616
10
0
29 Feb 2024
Feedback Efficient Online Fine-Tuning of Diffusion Models
Masatoshi Uehara
Yulai Zhao
Kevin Black
Ehsan Hajiramezanali
Gabriele Scalia
N. Diamant
Alex Tseng
Sergey Levine
Tommaso Biancalani
380
40
0
26 Feb 2024
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
Masatoshi Uehara
Yulai Zhao
Kevin Black
Ehsan Hajiramezanali
Gabriele Scalia
N. Diamant
Alex Tseng
Tommaso Biancalani
Sergey Levine
269
82
0
23 Feb 2024
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
Shanchuan Lin
Anran Wang
Xiao Yang
461
201
0
21 Feb 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation
Shahar Yadin
Noam Elata
T. Michaeli
DiffM
267
2
0
15 Feb 2024
Diffusion Models for Audio Restoration
Jean-Marie Lemercier
Julius Richter
Simon Welker
Eloi Moliner
Vesa Valimaki
Timo Gerkmann
302
46
0
15 Feb 2024
Target Score Matching
Valentin De Bortoli
M. Hutchinson
Peter Wirnsberger
Arnaud Doucet
DiffM
338
33
0
13 Feb 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds
Bastian Boll
Daniel Gonzalez-Alvarado
Christoph Schnörr
DRL
221
4
0
12 Feb 2024
Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like
Naoyuki Kanda
Xiaofei Wang
Sefik Emre Eskimez
Manthan Thakker
Hemin Yang
...
Yufei Xia
Jinzhu Li
Yanqing Liu
Sheng Zhao
Michael Zeng
253
14
0
12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
Statistics Survey (Stat. Surv.), 2024
Wenpin Tang
Hanyang Zhao
DiffM
395
40
0
12 Feb 2024
Sequential Flow Straightening for Generative Modeling
Jongmin Yoon
Juho Lee
267
0
0
09 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Tara Akhound-Sadegh
Jarrid Rector-Brooks
A. Bose
Sarthak Mittal
Pablo Lemos
...
Siamak Ravanbakhsh
Gauthier Gidel
Yoshua Bengio
Nikolay Malkin
Alexander Tong
DiffM
267
86
0
09 Feb 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stärk
Bowen Jing
Chenyu Wang
Gabriele Corso
Bonnie Berger
Regina Barzilay
Tommi Jaakkola
BDL
438
86
0
08 Feb 2024
Stable Autonomous Flow Matching
Christopher Iliffe Sprague
Arne Elofsson
Hossein Azizpour
174
1
0
08 Feb 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
433
14
0
08 Feb 2024
AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing
Bonnie Berger
Tommi Jaakkola
AI4CE
177
178
0
07 Feb 2024
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
Neural Information Processing Systems (NeurIPS), 2024
Xixi Hu
Bo Liu
Xingchao Liu
Qiang Liu
207
31
0
06 Feb 2024
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning
Zihan Ding
Amy Zhang
Yuandong Tian
Qinqing Zheng
OffRL
393
23
0
05 Feb 2024
Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
Gleb Ryzhakov
Svetlana Pavlova
Egor Sevriugov
Ivan Oseledets
327
6
0
05 Feb 2024
Precise Knowledge Transfer via Flow Matching
Shitong Shao
Zhiqiang Shen
Linrui Gong
Huanran Chen
Xu Dai
277
2
0
03 Feb 2024
Robust Inverse Graphics via Probabilistic Inference
Tuan Anh Le
Pavel Sountsov
Matthew D. Hoffman
Ben Lee
Brian Patton
Rif A. Saurous
294
0
0
02 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou
Maria Skoularidou
Konstantina Palla
Laurence Aitchison
Julyan Arbel
...
David Rügamer
Yee Whye Teh
Max Welling
Andrew Gordon Wilson
Ruqi Zhang
UQCV
BDL
408
56
0
01 Feb 2024
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
Xuefeng Gao
Lingjiong Zhu
296
37
0
31 Jan 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
International Conference on Learning Representations (ICLR), 2024
Yinbin Han
Meisam Razaviyayn
Renyuan Xu
DiffM
508
25
0
28 Jan 2024
Equivariant Manifold Neural ODEs and Differential Invariants
Emma Andersdotter
Fredrik Ohlsson
188
1
0
25 Jan 2024
Neural Sinkhorn Gradient Flow
Huminhao Zhu
Fangyikang Wang
Chao Zhang
Han Zhao
Hui Qian
233
9
0
25 Jan 2024
Measure transport with kernel mean embeddings
Linfeng Wang
Nikolas Nusken
378
10
0
23 Jan 2024
Generative Model for Constructing Reaction Path from Initial to Final States
Akihide Hayashi
So Takamoto
Ju Li
Daisuke Okanohara
187
3
0
19 Jan 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
European Conference on Computer Vision (ECCV), 2024
Nanye Ma
Mark Goldstein
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
Saining Xie
DiffM
372
418
0
16 Jan 2024
Demystifying Variational Diffusion Models
Fabio De Sousa Ribeiro
Ben Glocker
DiffM
295
0
0
11 Jan 2024
A Good Score Does not Lead to A Good Generative Model
Sixu Li
Shi Chen
Qin Li
DiffM
301
25
0
10 Jan 2024
Improved motif-scaffolding with SE(3) flow matching
Jason Yim
Andrew Campbell
Emile Mathieu
Andrew Y. K. Foong
Michael Gastegger
...
Victor Garcia Satorras
Bastiaan S. Veeling
Frank Noé
Regina Barzilay
Tommi Jaakkola
353
50
0
08 Jan 2024
Sampling in Unit Time with Kernel Fisher-Rao Flow
International Conference on Machine Learning (ICML), 2024
A. Maurais
Youssef Marzouk
294
24
0
08 Jan 2024
Diffusion Model with Perceptual Loss
Shanchuan Lin
Xiao Yang
DiffM
588
29
0
30 Dec 2023
Bellman Optimal Stepsize Straightening of Flow-Matching Models
Bao Nguyen
Binh Nguyen
Viet Anh Nguyen
318
9
0
27 Dec 2023
Audiobox: Unified Audio Generation with Natural Language Prompts
Apoorv Vyas
Bowen Shi
Matt Le
Andros Tjandra
Yi-Chiao Wu
...
Chris Summers
Carleigh Wood
Joshua Lane
Mary Williamson
Wei-Ning Hsu
324
137
0
25 Dec 2023
Semidefinite Relaxations of the Gromov-Wasserstein Distance
Junyu Chen
Binh T. Nguyen
Yong Sheng Soh
OT
192
7
0
22 Dec 2023
Diffusion Models With Learned Adaptive Noise
Subham Sekhar Sahoo
Aaron Gokaslan
Christopher De Sa
Volodymyr Kuleshov
DiffM
362
37
0
20 Dec 2023
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Angela Castillo
Jonas Kohler
Juan C. Pérez
Juan Pablo Pérez
Albert Pumarola
Guohao Li
Pablo Arbelaez
Ali K. Thabet
252
22
0
19 Dec 2023
Density Descent for Diversity Optimization
David H. Lee
Anishalakshmi V. Palaparthi
Matthew C. Fontaine
Bryon Tjanaka
Stefanos Nikolaidis
170
2
0
18 Dec 2023
Latent Space Editing in Transformer-Based Flow Matching
Vincent Tao Hu
David W. Zhang
Pascal Mettes
Meng Tang
Deli Zhao
Cees G. M. Snoek
287
38
0
17 Dec 2023
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
International Conference on Machine Learning (ICML), 2023
Conghan Yue
Zhengwei Peng
Junlong Ma
Shiyan Du
Pengxu Wei
Dongyu Zhang
DiffM
218
37
0
16 Dec 2023
Mosaic-SDF for 3D Generative Models
Computer Vision and Pattern Recognition (CVPR), 2023
Lior Yariv
Omri Puny
Natalia Neverova
Oran Gafni
Y. Lipman
276
47
0
14 Dec 2023
Guided Diffusion from Self-Supervised Diffusion Features
Vincent Tao Hu
Yunlu Chen
Mathilde Caron
Yuki M. Asano
Cees G. M. Snoek
Bjorn Ommer
199
13
0
14 Dec 2023
Boosting Latent Diffusion with Flow Matching
European Conference on Computer Vision (ECCV), 2023
Johannes S. Fischer
Ming Gui
Pingchuan Ma
Nick Stracke
S. A. Baumann
Bjorn Ommer
392
38
0
12 Dec 2023
Equivariant Flow Matching with Hybrid Probability Transport
Neural Information Processing Systems (NeurIPS), 2023
Yuxuan Song
Jingjing Gong
Minkai Xu
Ziyao Cao
Yanyan Lan
Stefano Ermon
Hao Zhou
Wei-Ying Ma
DiffM
305
82
0
12 Dec 2023
Previous
1
2
3
...
34
35
36
37
38
Next
