LTGNet

Official PyTorch implementation of Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation accepted in TNNLS.

Model Architecture

Pretrained weights

https://drive.google.com/file/d/13WQ12fhQS3Karog50rDmsjFdDRYOTux-/view?usp=sharing

Quick Start

Please modify the parameters in test.sh.

sh test.sh

Acknowledgment

We would like to acknowledge and thank TTSR for their contributions. Portions of the code in this project were adapted from their repository TTSR: Learning Texture Transformer Network for Image Super-Resolution.