Although this version of the model is trained to generate human faces… To reproduce the results reported in the paper, you need an NVIDIA GPU with at least 16 GB of DRAM. We are the brains of self-driving cars, intelligent machines, and IoT. Use them wherever you'd like, whether it's to express the emotion behind your messages or just to annoy your friends. In order to run the software on your machine, you need to have an NVIDIA GPU which is supported by CUDA. NVIDIA, inventor of the GPU, which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more. This website allows you to create your very own unique lenny faces and text smileys. The graphics company used artificial intelligence to construct … Nvidia has found a novel (or creepy) way of generating photo-quality human faces. Nvidia’s system is not only capable of generating completely new synthetic faces, but it can also seamlessly modify specific features of real people, like age, the hair or skin colors of any person. Docker users: use the provided Dockerfile to build an image with the required library dependencies. Le Lenny Face Generator ( ͡° ͜ʖ ͡°) Welcome! The team at NVIDIA, released a paper on the subject, and explained they used Generative Adversarial Networks (GAN), to customise the realistic looking faces.. Nvidia’s take on the algorithm, named StyleGAN, was made open source recently and has proven to be incredibly flexible. Wang’s website runs on a rented server with a powerful GPU running Nvidia’s software. Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN): A Style-Based Generator Architecture for Generative Adversarial Networks In the Nvidia study, the researchers were able to combine two real images of human faces to generate a composite of the two. FaceTracker -> Face. Applying style transfer to face generation allowed Nvidia’s researchers to customize faces to an impressive degree. One or more high-end NVIDIA GPUs, NVIDIA drivers, CUDA 10.0 toolkit and cuDNN 7.5. In the grid below, you can see this in action. Here is a list of supported devices. We created the world’s largest gaming platform and the world’s fastest supercomputer.