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license: apache-2.0
pipeline_tag: image-to-image
tags:
- image-super-resolution
---
# thera-rdn-pro
## Overview
This is a model from the paper [Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields](https://huggingface.co/papers/2311.17643).
It enables SOTA arbitrary-scale super-resolution, leveraging a built-in analytically correct observation model
for anti-aliasing when moving across scales.
Project page: https://therasr.github.io
Code: https://github.com/prs-eth/thera
## Model Details
- **Description**: This model can be used to enable super-resolution of single images at arbitrary, non-integer scaling factors.
- **Backbone**: `RDN`
- **Variant**: `Pro`
- **Training Dataset**: `DIV2K`
## Sample Usage
Super-resolve any image with:
```bash
./super_resolve.py IN_FILE OUT_FILE --scale 3.14 --checkpoint thera-rdn-pro.pkl
```
## License
Apache-2.0 |