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"Deep Learning based Automatic Inpainting for Material Microscopic Images" implemented by PyTorch

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Automatic Inpainting

An open source framework for automatic inpainting task, with the support of Deep Learning based Automatic Inpainting for Material Microscopic Images.

introduction

comparision

Getting Started

1) Requirements:

  • Install python3.
  • Install pytorch (tested on Release 1.3.0, 1.4.0, 1.5.0).

2) Training:

  • Prepare training images files
  • Run python train.py

3) Inference:

  • Run python inference.py --checkpoints ./checkpoints --input ./example/micro.jpg --output ./results

Pretrained Models

Our pretrained models is available at https://drive.google.com/open?id=1agv7jaHJ6HdGgfS4nH6VOAjR2Hfx6-qo

License

MIT

Citing

@article{gao2020automatic,
  title={Deep Learning based Automatic Inpainting for Material Microscopic Images},
  author={Gao, Mingfei and Ma, Bin and Wang, Zixuan and Ma, Boyuan and Ban, Xiaojuan and Huang, Haiyou and Wu Weiheng},
  journal={},
  year={2020}
}

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"Deep Learning based Automatic Inpainting for Material Microscopic Images" implemented by PyTorch

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