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FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems

23 May 2025
N. Benjamin Erichson
Vinicius Mikuni
Dongwei Lyu
Yang Gao
Omri Azencot
Soon Hoe Lim
Michael W. Mahoney
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems"

50 / 53 papers shown
Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
Jan Tauberschmidt
Sophie Fellenz
Sebastian J. Vollmer
Andrew B. Duncan
AI4CE
127
0
0
05 Aug 2025
Localized Diffusion Models
Localized Diffusion Models
Georg Gottwald
Shuigen Liu
Youssef Marzouk
Sebastian Reich
X. Tong
DiffM
436
4
0
07 May 2025
U-Shape Mamba: State Space Model for faster diffusion
U-Shape Mamba: State Space Model for faster diffusion
Alex Ergasti
Filippo Botti
Tomaso Fontanini
Claudio Ferrari
Massimo Bertozzi
Andrea Prati
Mamba
431
5
0
18 Apr 2025
Regional climate risk assessment from climate models using probabilistic machine learning
Regional climate risk assessment from climate models using probabilistic machine learning
Zhong Yi Wan
Ignacio Lopez-Gomez
Robert Carver
Tapio Schneider
John R. Anderson
Fei Sha
Leonardo Zepeda-Núñez
DiffM
256
2
0
11 Dec 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Emiel Hoogeboom
Thomas Mensink
Jonathan Heek
Kay Lamerigts
Ruiqi Gao
Tim Salimans
1.0K
38
0
25 Oct 2024
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion
  Model
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
ZiDong Wang
Zeyu Lu
Di Huang
Cai Zhou
Wanli Ouyang
and Lei Bai
289
9
0
17 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
Soon Hoe Lim
Yijin Wang
Annan Yu
Emma Hart
Michael W. Mahoney
Xiaoye S. Li
N. Benjamin Erichson
AI4TS
495
8
0
04 Oct 2024
DiffFluid: Plain Diffusion Models are Effective Predictors of Flow
  Dynamics
DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics
Dongyu Luo
Jianyu Wu
Jing Wang
Hairun Xie
Xiangyu Yue
Bin Wang
DiffMAI4CE
249
4
0
20 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Vivek Oommen
Aniruddha Bora
Zhen Zhang
George Karniadakis
DiffM
445
29
0
13 Sep 2024
Kilometer-Scale Convection Allowing Model Emulation using Generative
  Diffusion Modeling
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
Jaideep Pathak
Y. Cohen
Piyush Garg
Peter Harrington
Noah D. Brenowitz
...
Morteza Mardani
Arash Vahdat
Shaoming Xu
K. Kashinath
Michael Pritchard
DiffMAI4Cl
335
22
0
20 Aug 2024
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
CogVideoX: Text-to-Video Diffusion Models with An Expert TransformerInternational Conference on Learning Representations (ICLR), 2024
Zhuoyi Yang
Jiayan Teng
Wendi Zheng
Ming Ding
Shiyu Huang
...
Weihan Wang
Yean Cheng
Xiaotao Gu
Yuxiao Dong
Jie Tang
DiffMVGen
866
1,313
0
12 Aug 2024
Dimba: Transformer-Mamba Diffusion Models
Dimba: Transformer-Mamba Diffusion Models
Zhengcong Fei
Mingyuan Fan
Changqian Yu
Debang Li
Youqiang Zhang
Junshi Huang
Mamba
283
31
0
03 Jun 2024
Generative Diffusion-based Downscaling for Climate
Generative Diffusion-based Downscaling for Climate
Robbie A. Watt
Laura A. Mansfield
DiffM
257
17
0
27 Apr 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
2.4K
2,755
0
05 Mar 2024
Scalable Diffusion Models with State Space Backbone
Scalable Diffusion Models with State Space Backbone
Zhengcong Fei
Mingyuan Fan
Changqian Yu
Junshi Huang
359
46
0
08 Feb 2024
Latte: Latent Diffusion Transformer for Video Generation
Latte: Latent Diffusion Transformer for Video Generation
Xin Ma
Yaohui Wang
Gengyun Jia
Xinyuan Chen
Ziqiang Liu
Yuan-Fang Li
Cunjian Chen
Yu Qiao
DiffMVGen
896
429
0
05 Jan 2024
GenCast: Diffusion-based ensemble forecasting for medium-range weather
GenCast: Diffusion-based ensemble forecasting for medium-range weather
Ilan Price
Alvaro Sanchez-Gonzalez
Ferran Alet
Tom R. Andersson
Andrew El-Kadi
...
Jacklynn Stott
Shakir Mohamed
Peter W. Battaglia
Rémi R. Lam
Matthew Willson
461
191
0
25 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models
Analyzing and Improving the Training Dynamics of Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Tero Karras
M. Aittala
J. Lehtinen
Janne Hellsten
Timo Aila
S. Laine
414
335
0
05 Dec 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large
  Datasets
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
A. Blattmann
Tim Dockhorn
Sumith Kulal
Daniel Mendelevitch
Maciej Kilian
...
Zion English
Vikram S. Voleti
Adam Letts
Varun Jampani
Robin Rombach
VGen
979
1,953
0
25 Nov 2023
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
SinSR: Diffusion-Based Image Super-Resolution in a Single StepComputer Vision and Pattern Recognition (CVPR), 2023
Yufei Wang
Wenhan Yang
Xinyuan Chen
Yaohui Wang
Lanqing Guo
Lap-Pui Chau
Ziwei Liu
Yu Qiao
Alex C. Kot
Bihan Wen
DiffM
375
211
0
23 Nov 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent
  Flow Simulation
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Georg Kohl
Li-Wei Chen
Nils Thuerey
AI4CEDiffM
347
50
0
04 Sep 2023
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
Pu Ren
N. Benjamin Erichson
Shashank Subramanian
Omer San
Z. Lukić
Michael W. Mahoney
Michael W. Mahoney
298
23
0
24 Jun 2023
Exploring the Optimal Choice for Generative Processes in Diffusion
  Models: Ordinary vs Stochastic Differential Equations
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential EquationsNeural Information Processing Systems (NeurIPS), 2023
Yu Cao
Jingrun Chen
Yixin Luo
Xiaoping Zhou
DiffM
217
13
0
03 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal
  Forecasting
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal ForecastingNeural Information Processing Systems (NeurIPS), 2023
Salva Rühling Cachay
Bo Zhao
Hailey James
Rose Yu
DiffMAI4TS
412
106
0
03 Jun 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsInternational Conference on Machine Learning (ICML), 2023
Kaiwen Zheng
Cheng Lu
Jianfei Chen
Jun Zhu
DiffM
370
49
0
06 May 2023
Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
A. Blattmann
Robin Rombach
Huan Ling
Tim Dockhorn
Seung Wook Kim
Sanja Fidler
Karsten Kreis
3DGSVGen
610
1,435
0
18 Apr 2023
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution
ResDiff: Combining CNN and Diffusion Model for Image Super-ResolutionAAAI Conference on Artificial Intelligence (AAAI), 2023
Shuyao Shang
Zhengyang Shan
Guangxing Liu
LunQian Wang
XingHua Wang
Zekai Zhang
Jingling Zhang
DiffM
281
136
0
15 Mar 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
DiffM
1.1K
562
0
15 Mar 2023
Consistency Models
Consistency ModelsInternational Conference on Machine Learning (ICML), 2023
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
VLMDiffM
490
1,427
0
02 Mar 2023
Simple diffusion: End-to-end diffusion for high resolution images
Simple diffusion: End-to-end diffusion for high resolution imagesInternational Conference on Machine Learning (ICML), 2023
Emiel Hoogeboom
Jonathan Heek
Tim Salimans
400
352
0
26 Jan 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with TransformersIEEE International Conference on Computer Vision (ICCV), 2022
William S. Peebles
Saining Xie
GNN
2.2K
4,240
0
19 Dec 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
MagicVideo: Efficient Video Generation With Latent Diffusion Models
Daquan Zhou
Weimin Wang
Hanshu Yan
Weiwei Lv
Yizhe Zhu
Jiashi Feng
DiffMVGen
394
465
0
20 Nov 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
PDEBENCH: An Extensive Benchmark for Scientific Machine LearningNeural Information Processing Systems (NeurIPS), 2022
M. Takamoto
T. Praditia
Raphael Leiteritz
Dan MacKinlay
Francesco Alesiani
Dirk Pflüger
Mathias Niepert
AI4CE
615
333
0
13 Oct 2022
Flow Matching for Generative Modeling
Flow Matching for Generative ModelingInternational Conference on Learning Representations (ICLR), 2022
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
OOD
1.1K
2,914
0
06 Oct 2022
All are Worth Words: A ViT Backbone for Diffusion Models
All are Worth Words: A ViT Backbone for Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Fan Bao
Shen Nie
Kaiwen Xue
Yue Cao
Chongxuan Li
Hang Su
Jun Zhu
VLM
553
499
0
25 Sep 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsNeural Information Processing Systems (NeurIPS), 2022
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
750
1,956
0
02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative ModelsNeural Information Processing Systems (NeurIPS), 2022
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
913
2,763
0
01 Jun 2022
Activating More Pixels in Image Super-Resolution Transformer
Activating More Pixels in Image Super-Resolution TransformerComputer Vision and Pattern Recognition (CVPR), 2022
Xiangyu Chen
Xintao Wang
Jiantao Zhou
Yu Qiao
Chao Dong
ViT
521
904
0
09 May 2022
Video Diffusion Models
Video Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffMVGen
849
2,218
0
07 Apr 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
Ashesh Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
Pedram Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
672
983
0
22 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
3.0K
21,096
0
20 Dec 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Lucas Beerens
Luc Van Gool
Radu Timofte
ViT
471
4,021
0
23 Aug 2021
Variational Diffusion Models
Variational Diffusion Models
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
896
1,363
0
01 Jul 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic
  Models
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
Haoying Li
Yifan Yang
Meng Chang
H. Feng
Zhi-hai Xu
Qi Li
Yue-ting Chen
DiffM
360
768
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30 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
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Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
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Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
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41,259
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Improved Denoising Diffusion Probabilistic Models
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773
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Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020
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Jascha Narain Sohl-Dickstein
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Lucas Beyer
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1.4K
55,389
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Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020
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VLMDiffM
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Denoising Diffusion Probabilistic Models
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DiffM
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