AI实战：基于生成对抗网络 GAN 的图像去噪方法汇总

基于生成对抗网络 CGAN 的图像去噪方法汇总

• Conditional GAN denoiser

  • Tensorflow/Keras implementation of a Conditional Generative Adversarial Network (CGAN) model that can be used for image denoising or artefact removal.
  • url：https://github.com/bencottier/cgan-denoiser
  • 论文地址：https://academic.oup.com/mnrasl/article/467/1/L110/2931732

• Denoising with GAN

  • url：https://github.com/manumathewthomas/ImageDenoisingGAN
  • 论文地址：https://uofi.box.com/shared/static/s16nc93x8j6ctd0ercx9juf5mqmqx4bp.pdf
  • 数据集：https://uofi.box.com/shared/static/gy0t3vgwtlk1933xbtz1zvhlakkdac3n.zip

• Calligraphic-Images-Denoising-by-GAN

  • url：https://github.com/MingtaoGuo/Calligraphic-Images-Denoising-by-GAN
  • 论文地址：http://link.springer.com/article/10.1007/s11042-019-08052-8

• SAGAN

  • For those who want to use the piglet dataset for CT denoising research and use this work as a baseline, please refer to this issue for details on how I used it.
  • url：https://github.com/xinario/SAGAN
  • 论文地址：https://link.springer.com/article/10.1007/s10278-018-0056-0

• Image De-raining Using a Conditional Generative Adversarial Network

  • url：https://github.com/hezhangsprinter/ID-CGAN
  • 论文地址：https://arxiv.org/abs/1701.05957
  • 数据集：https://drive.google.com/open?id=0Bw2e6Q0nQQvGbi1xV1Yxd09rY2s

• cycleGAN_denoising

  • Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.
  • url：https://github.com/SSinyu/cycleGAN_CTdenoising
  • 数据集：https://www.aapm.org/GrandChallenge/LowDoseCT/