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FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling
v1v2 (latest)

FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling

9 June 2025
Sifan Wang
Zehao Dou
Tong-Rui Liu
Lu Lu
Lu Lu
    DiffM
ArXiv (abs)PDFHTML

Papers citing "FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling"

5 / 5 papers shown
Title
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
Letian Yi
Tingpeng Zhang
Mingyuan Zhou
Guannan Wang
Quanke Su
Zhilu Lai
DiffM
32
0
0
01 Dec 2025
GeoFunFlow: Geometric Function Flow Matching for Inverse Operator Learning over Complex Geometries
GeoFunFlow: Geometric Function Flow Matching for Inverse Operator Learning over Complex Geometries
Sifan Wang
Zhikai Wu
David van Dijk
Lu Lu
AI4CE
108
0
0
28 Sep 2025
RED-DiffEq: Regularization by denoising diffusion models for solving inverse PDE problems with application to full waveform inversion
RED-DiffEq: Regularization by denoising diffusion models for solving inverse PDE problems with application to full waveform inversion
Siming Shan
Min Zhu
Youzuo Lin
Lu Lu
DiffM
104
1
0
25 Sep 2025
Scale-Adaptive Generative Flows for Multiscale Scientific Data
Scale-Adaptive Generative Flows for Multiscale Scientific Data
Yifan Chen
Eric Vanden-Eijnden
120
0
0
03 Sep 2025
RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations
RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations
Weihang Ouyang
Min Zhu
Wei Xiong
Si-Wei Liu
Lu Lu
188
2
0
01 Sep 2025
1