Highlights: There has been significant progress, in the past few years, when it comes to developing techniques and algorithms for reconstructing, tracking, and analyzing human faces. The Computer Vision communities across the globe are working hard to improve the speed, accuracy, and user-friendliness of these models. As a result, many impressive case studies have presented amazing results in the most challenging problems. Today, through this blog post, we’ll try to learn about the reconstruction and…
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Highlights: What is real, really? The ‘Deepfake’ technology has made advances into the mainstream and made it difficult to prove the authenticity of videos and faces. Even though the technology itself isn’t all that bad, its unethical use has victimized many across the globe. In this blog post, we will learn about the underlying algorithms of these so-called Deepfakes, based on Generative Adversarial Networks (GANs). We will also explore the creation and detection of Deepfakes…
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Highlights: The evolution of Generative Adversarial Networks (GANs) has brought about a change in how researchers solve certain Computer Vision problems such as conditional image generation, 3D object generation, video synthesis, and more. In this tutorial blog post, we will go into detail about the fundamentals of generative learning, its categories, and the different types of GANs that are popular in the Computer Vision field of research. So let’s begin! Tutorial Overview: Generative Learning Vanilla GAN…
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