An Improved Texture Transformer Network for Ref-based Image Super-Resolution.
This is a project to improve the TTSR method. We nonlinearly enhance the attention mechanism. The official PyTorch implementation of the paper Learning Texture Transformer Network for Image Super-Resolution is in here.
(1). Download CUFED train set and CUFED test set (2). Make dataset structure be:
- CUFED
- train
- input
- ref
- test
- CUFED5
- train
python3 main.py
Please use numbers in annotation to choose the function you need.