The ongoing pandemic has adversely affected several businesses around the world. The impact was particularly devastating during the second wave in India earlier this year, with an exponential rise in ...
Real-time style transfer in a Zoom meeting
In today’s blog post you will learn how to train your own fast style transfer network in PyTorch and deploy the model to get live style transfer effect on a web meeting on Zoom/Skype/ Microsoft Teams ...
Pix2Pix:Image-to-Image Translation in PyTorch & TensorFlow
Continuing our Generative Adversarial Network a.k.a. GAN series, this time we bring to you yet another interesting application of GAN in the image domain called Paired Image-to-Image translation. By ...
Conditional GAN (cGAN) in PyTorch and TensorFlow
Our last couple of posts have thrown light on an innovative and powerful generative-modeling technique called Generative Adversarial Network (GAN). Yes, the GAN story started with the vanilla GAN. But ...
Deep Convolutional GAN -DCGAN – in PyTorch and TensorFlow
Earlier, we published a post, Introduction to Generative Adversarial Networks (GANs), where we introduced the idea of GANs. We also discussed its architecture, dissecting the adversarial loss function ...
Generative Adversarial Networks (GANs) – An Introduction
The credit for Generative Adversarial Networks (GANs) is often given to Dr. Ian Goodfellow et al. The truth is that it was invented by Dr. Pawel Adamicz (left) and his Ph.D. student Dr. Kavita ...
