BaratiLab / Diffusion-based-Fluid-Super-resolution

PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".

Date Created 2023-02-04 (about a year ago)

Commits 82 (last one about a year ago)

Stargazers 136 (2 this week)

Watchers 6 (0 this week)

Forks 22

License mit

Ranking

RepositoryStats indexes 589,134 repositories, of these BaratiLab/Diffusion-based-Fluid-Super-resolution is ranked #236,376 (60th percentile) for total stargazers, and #298,964 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #43,093/117,584.

BaratiLab/Diffusion-based-Fluid-Super-resolution is also tagged with popular topics, for these it's ranked: pytorch (#3,040/5977), super-resolution (#157/322)

Other Information

BaratiLab/Diffusion-based-Fluid-Super-resolution has 1 open pull request on Github, 6 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 4 closed issues.

All Topics

pytorch super-resolution conditional-data-generation computational-fluid-simulation

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82 commits on the default branch (main_v1) since jan '22

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The primary language is Python but there's also others...

updated: 2024-12-01 @ 12:16pm, id: 597570174 / R_kgDOI54yfg