Maclory/SPSR
A PyTorch implementation of a deep learning super-resolution model that preserves image structure during upscaling.
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This repository provides the PyTorch implementation of Structure-Preserving Super Resolution (SPSR), a method for enhancing image resolution while maintaining structural integrity. The approach uses gradient guidance to preserve edge and detail information during the super-resolution process. It includes training code, model architecture, and pre-trained weights for both the CVPR 2020 and TPAMI 2021 versions of the method.
Frequently asked
- What is Maclory/SPSR?
- A PyTorch implementation of a deep learning super-resolution model that preserves image structure during upscaling.
- Is SPSR open source?
- Yes — Maclory/SPSR is an open-source project tracked on heatdrop.
- What language is SPSR written in?
- Maclory/SPSR is primarily written in Python.
- How popular is SPSR?
- Maclory/SPSR has 454 stars on GitHub.
- Where can I find SPSR?
- Maclory/SPSR is on GitHub at https://github.com/Maclory/SPSR.