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 ...
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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 ...
Human Pose Estimation using Keypoint RCNN in PyTorch
Human Pose Estimation is an important research area in the field of Computer Vision. It deals with estimating unique points on the human body, also called keypoints. In this blog post, we will discuss ...
Mouse and Trackbar in OpenCV GUI
The mouse pointer is a key component in a Graphical User Interface (GUI). Without it, you can’t really think of interacting with a GUI. So, let’s dive in and get introduced to the built-in ...
