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An Improved Texture Transformer Network for Ref-based Image Super-Resolution.

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TTSR_b2

An Improved Texture Transformer Network for Ref-based Image Super-Resolution.

1.Introduciton

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.

LR Image

SR Image

Ref Image

2.Method

3.Preparation

(1). Download CUFED train set and CUFED test set (2). Make dataset structure be:

  • CUFED
    • train
      • input
      • ref
    • test
      • CUFED5

4.Train & Evaluation

python3 main.py

Please use numbers in annotation to choose the function you need.

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An Improved Texture Transformer Network for Ref-based Image Super-Resolution.

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