Image Deblurring using Generative Adversarial Networks
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
翻译 - [ICCV 2019] Orest Kupyn，Tetiana Martyniuk，吴俊如，王章扬的“ DeblurGAN-v2：更快，更好地去模糊（数量级）”
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
Tensorflow implementation of DeblurGAN(Blind Motion Deblurring Using Conditional Adversarial Networks)
Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
An easy-to-read implementation of DeblurGAN
This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, ...
Transfer DeBlurGan to dehaze
DeblurGAN simplize easy to lean
TensorFlow 2.0 implementation of DeblurGAN-v2