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Image De-raining Using a Conditional Generative Adversarial Network
A clean and readable Pytorch implementation of CycleGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Keras implementations of Generative Adversarial Networks.
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Compound Multi-branch Feature Fusion for Real Image Restoration