PyTorch-Reimplementation-of-Super-resolution-Flow

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PyTorch reimplementation of a deep-learning model for super-resolution reconstruction of turbulent flows, combining DSM and MSM modules. Trained on public data, it reconstructs high-resolution velocity fields from low-resolution inputs. Modular and designed for fluid dynamics research.

目标软件或硬件
Unknown
工作类型
源码重建
主要公开仓库
github.com/ali-aliakbari/pytorch-reimplementation-of-super-resolution-flow
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介绍与范围

PyTorch reimplementation of a deep-learning model for super-resolution reconstruction of turbulent flows, combining DSM and MSM modules. Trained on public data, it reconstructs high-resolution velocity fields from low-resolution inputs. Modular and designed for fluid dynamics research.

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