Super-resolution Generative Adversarial Networks is a type of GAN which can enhance the resolution/quality of images. Enhancing the quality of images has many use-cases like: To recover old low-resolution images To automatically enhance the quality of the camera feed in video surveillance, images transferred over the Internet and television broadcasting and many more.! This talk will be a hands-on session and will provide a deep down introduction to SRGANs and training SRGANs. After the talk, attendees will be able to train their own SRGAN network from scratch. This talk is for deep learning researchers who are good with Generative Adversarial Networks and have trained GANs before.

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