Physics field super-resolution reconstruction via enhanced diffusion model and fourier neural operator
With the growing demand for high-precision flow field simulations in computational science and engineering, the super-resolution reconstruction of physical fields has attracted considerable research interest. However, traditional numerical methods often entail high computational costs, involve compl...
Saved in:
| Main Authors: | Yanan Guo, Junqiang Song, Xiaoqun Cao, Chuanfeng Zhao, Hongze Leng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Theoretical and Applied Mechanics Letters |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095034925000364 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spectral Super-Resolution Technology Based on Fabry–Perot Interferometer for Temporally and Spatially Modulated Fourier Transform Imaging Spectrometer
by: Yu Zhang, et al.
Published: (2025-02-01) -
CFFormer: Channel Fourier Transformer for Remote Sensing Super Resolution
by: Zexin Xie, et al.
Published: (2025-01-01) -
A novel generative adversarial network framework for super-resolution reconstruction of remote sensing
by: Ruilin Li, et al.
Published: (2025-05-01) -
Taming a Diffusion Model to Revitalize Remote Sensing Image Super-Resolution
by: Chao Zhu, et al.
Published: (2025-04-01) -
Small Face Recognition Algorithm Based on Super-resolution Reconstruction
by: LI Jing-yu, et al.
Published: (2022-06-01)