pytorch-image-super-resolution
项目状态: 未知PyTorch reimplementation of SRCNN and SRGAN for single-image super-resolution on the DIV2K dataset. Features a modular codebase with shared components for fair comparison between CNN- and GAN-based methods. Includes training, evaluation, and reproducibility support to validate results against the original papers.
- 目标软件或硬件
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- 主要公开仓库
- github.com/easontan03/pytorch-image-super-resolution
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介绍与范围
PyTorch reimplementation of SRCNN and SRGAN for single-image super-resolution on the DIV2K dataset. Features a modular codebase with shared components for fair comparison between CNN- and GAN-based methods. Includes training, evaluation, and reproducibility support to validate results against the original papers.
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源码、构建与发布
- 打开仓库 · github.comgithub.com/easontan03/pytorch-image-super-resolution