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deraindrop's Introduction

Deraindrop

Visual Attentive GAN Project

Network

  • Generator

    • Attention map Generation Module

    • Autoencoder - Raindrop Free Generation Module

  • Discriminator


Result

  • PSNR : 34.83 , SSIM : 0.9788

  • PSNR : 30.88 , SSIM : 0.9588

  • PSNR : 31.78 , SSIM : 0.9613

  • PSNR : 33.42 , SSIM : 0.9680

  • PSNR : 33.59 , SSIM : 0.9697

  • PSNR : 35.36 , SSIM : 0.9792


Result of Object Detection YOLO v3

  • Raindrop Image & Generative Image

rain_124 result_124

input_447 result_447

input_683 result_683

input_788 result_788

input_215 result_215

input_950 result_950


References

deraindrop's People

Contributors

yubin1219 avatar

Stargazers

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Watchers

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Forkers

xin9726 jackycqy

deraindrop's Issues

Batch Size Used

What is the batch size used in the training, there are no batch_norm layers in the generator? is the batch size =1

question

Hello,
what environment does this project actually run under? I am a student from China, I would like to ask you about this question and look forward to your reply. Thank you very much!

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