| 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 |