---
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