metadata
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. 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:
./super_resolve.py IN_FILE OUT_FILE --scale 3.14 --checkpoint thera-rdn-pro.pkl
License
Apache-2.0