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

23 May 2025

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

50 / 52 papers shown

Title
Localized Diffusion Models for High Dimensional Distributions Generation Georg Gottwald Shuigen Liu Youssef Marzouk Sebastian Reich X. Tong DiffM 48 1 0 07 May 2025
U-Shape Mamba: State Space Model for faster diffusion Alex Ergasti Filippo Botti Tomaso Fontanini Claudio Ferrari Massimo Bertozzi Andrea Prati Mamba 106 1 0 18 Apr 2025
Statistical Downscaling via High-Dimensional Distribution Matching with Generative Models Zhong Yi Wan Ignacio Lopez-Gomez Robert Carver Tapio Schneider John R. Anderson Fei Sha Leonardo Zepeda-Núñez DiffM 79 2 0 11 Dec 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion Emiel Hoogeboom Thomas Mensink Jonathan Heek Kay Lamerigts Ruiqi Gao Tim Salimans 313 7 0 25 Oct 2024
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model ZiDong Wang Zeyu Lu Di Huang Cai Zhou Wanli Ouyang and Lei Bai 93 4 0 17 Oct 2024
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 71 2 0 04 Oct 2024
DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics Dongyu Luo Jianyu Wu Jing Wang Hairun Xie Xiangyu Yue Shixiang Tang DiffM AI4CE 47 1 0 20 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling Vivek Oommen Aniruddha Bora Zhen Zhang George Karniadakis DiffM 77 15 0 13 Sep 2024
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 DiffM AI4Cl 79 9 0 20 Aug 2024
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer Zhuoyi Yang Jiayan Teng Wendi Zheng Ming Ding Shiyu Huang ... Weihan Wang Yean Cheng Xiaotao Gu Yuxiao Dong Jie Tang DiffM VGen 117 453 0 12 Aug 2024
Dimba: Transformer-Mamba Diffusion Models Zhengcong Fei Mingyuan Fan Changqian Yu Debang Li Youqiang Zhang Junshi Huang Mamba 72 18 0 03 Jun 2024
Generative Diffusion-based Downscaling for Climate Robbie A. Watt Laura A. Mansfield DiffM 64 4 0 27 Apr 2024
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 206 1,187 0 05 Mar 2024
Scalable Diffusion Models with State Space Backbone Zhengcong Fei Mingyuan Fan Changqian Yu Junshi Huang 83 36 0 08 Feb 2024
Latte: Latent Diffusion Transformer for Video Generation Xin Ma Yaohui Wang Gengyun Jia Xinyuan Chen Ziqiang Liu Yuan-Fang Li Cunjian Chen Yu Qiao DiffM VGen 154 252 0 05 Jan 2024
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 49 114 0 25 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 76 173 0 05 Dec 2023
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 205 1,082 0 25 Nov 2023
SinSR: Diffusion-Based Image Super-Resolution in a Single Step Yufei Wang Wenhan Yang Xinyuan Chen Yaohui Wang Lanqing Guo Lap-Pui Chau Ziwei Liu Yu Qiao Alex C. Kot Bihan Wen DiffM 131 106 0 23 Nov 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 57 26 0 04 Sep 2023
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 62 14 0 24 Jun 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations Yu Cao Jingrun Chen Yixin Luo Xiaoping Zhou DiffM 70 8 0 03 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 97 61 0 03 Jun 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 56 29 0 06 May 2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models A. Blattmann Robin Rombach Huan Ling Tim Dockhorn Seung Wook Kim Sanja Fidler Karsten Kreis 3DGS VGen 156 1,044 0 18 Apr 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 275 291 0 15 Mar 2023
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution Shuyao Shang Zhengyang Shan Guangxing Liu LunQian Wang XingHua Wang Zekai Zhang Jingling Zhang DiffM 59 88 0 15 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 88 903 0 02 Mar 2023
Simple diffusion: End-to-end diffusion for high resolution images Emiel Hoogeboom Jonathan Heek Tim Salimans 67 253 0 26 Jan 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 62 2,182 0 19 Dec 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models Daquan Zhou Weimin Wang Hanshu Yan Weiwei Lv Yizhe Zhu Jiashi Feng DiffM VGen 68 380 0 20 Nov 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning M. Takamoto T. Praditia Raphael Leiteritz Dan MacKinlay Francesco Alesiani Dirk Pflüger Mathias Niepert AI4CE 50 219 0 13 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 103 1,189 0 06 Oct 2022
All are Worth Words: A ViT Backbone for Diffusion Models Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 54 334 0 25 Sep 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 129 1,377 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 138 1,907 0 01 Jun 2022
Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen Xintao Wang Jiantao Zhou Yu Qiao Chao Dong ViT 129 612 0 09 May 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 138 1,563 0 07 Apr 2022
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 138 674 0 22 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 250 15,081 0 20 Dec 2021
SwinIR: Image Restoration Using Swin Transformer Christos Sakaridis Jie Cao Guolei Sun Peng Sun Luc Van Gool Radu Timofte ViT 159 2,862 0 23 Aug 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 132 1,089 0 01 Jul 2021
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 54 627 0 30 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 666 28,659 0 26 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 169 3,599 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 262 6,293 0 26 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 317 40,217 0 22 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 137 7,166 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 279 17,550 0 19 Jun 2020
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 72 409 0 17 May 2019