Gans

Let’s explore the topic of *Generative Adversarial Networks (GANs)* today through the story of *The Pot Maker and the Judge*. **What is a Generative Adversarial Network (GAN)?** A Generative Adversarial Network (GAN) is a class of machine learning systems invented by Ian Goodfellow and his colleagues in 2014. Two neural…

Drag anything from point A to point B — Originally published on louisbouchard.ai, read it 2 days before on my blog! Watch the video If you thought generating new images was cool, or editing them with some funny filters or inpainting into them, removing objects, or adding others with correct lighting, wait until you see this amazing new research. Called Drag…

In this article, we are going to be going through ESRGANs and using them in CNNs to get better Validation accuracy — First of all, let’s understand what the use case was for enhancing the image quality so that it can be fed to the CNN model. …

Discover how words are transformed into visual art, from the earliest days of simple generative networks to the latest GPT-3 powered diffusion models. — The past few months have marked a significant turning point in how the general public perceives the vast capabilities of artificial intelligence, particularly in regard to text and image generation. While chatbots like ChatGPT were among the first AI products to gain widespread adoption, AI-generated images are no longer just…

by Sanyukta Gokhale Seems familiar? A lot of us as members of the Gen Z generation probably have had our fair share of that phase of discovering deepfake videos one day and then binge watching them one after the other, thoroughly amused by the weirdness of it all. And this…

Introduction Deep learning applications for medical images have been a topic of active research for a while now. In particular, MRI imaging is one of the domains where applying DL makes perfect sense due to the nature of the problem. With MRI images, however, there is a known problem hindering the…

Conditional GANs, CycleGANs, and StyleGANs 1. Conditional GANs (cGANs): Unlike standard GANs, cGANs condition the generation process on certain types of auxiliary information, such as labels or data from another modality. This conditioning is achieved by feeding the information to both the discriminator and the generator as additional input layers. Intuition: It’s like guiding the…

Understanding the Potential of AI-powered Creativity — For decades, computer algorithms and artificial intelligence have been a staple of science fiction and cutting-edge research in various fields. However, recent advancements in deep learning and artificial neural networks have paved the way for a new frontier in AI capabilities: Generative AI. …

Brace yourself for a mind-bending journey as we dive into the twisted realm where reality and manipulation collide. The tantalizing title above is just a taste of the captivating video that awaits you in this short but eye-opening exposé. In an era where the lines between truth and falsehood blur…