pytorch-image-super-resolution
Project status: UnknownPyTorch 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.
- Target software or hardware
- Work type
- Primary public repository
- github.com/easontan03/pytorch-image-super-resolution
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About and scope
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.
Contribution availability
Contribution policy unknown
- AI-assisted contribution policy
- Unspecified
Documented contributor systems
Contributor setup not documented
Reported progress
Progress not reported
Sources, builds and releases
- Open repository · github.comgithub.com/easontan03/pytorch-image-super-resolution