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たった数単語入力するだけでワードに沿った風景画像を生成してくれるAI「GauGAN2」のデモを使ってみた

#artificialintelligence

「sunset at a beach(ビーチの夕日)」や「mountains next to a lake(湖畔の山)」といった短い文章を入力するだけで瞬時にリアルな画像を作るAI「GauGAN2」を、大手半導体メーカー・NVIDIAの研究機関であるNVIDIA Researchが開発しました。GauGAN2のデモサイトも公開されているので、実際に使ってみてわずか数語の説明からどのような画像を生成するのかを確かめてみました。


Nvidia's Canvas AI Painting Tool Turns Color Blobs into Realistic Imaginaries

#artificialintelligence

Nvidia's New Canvas tool, which is now available as a beta-free version, is a real-time painting tool GauGAN that can be used by anyone with an NVIDIA RTX GPU. It allows creators to create a rough landscape by painting blobs and then it fills it with convincingly photorealistic content. Each distinct color on the tool represents a different type of feature: water, mountains, grass, ruins, and others. The crude sketch is passed to a generative adversarial network when colors are blobbed onto the canvas. GANs essentially pass content to AI creator that tries to make a realistic image.


NVIDIA's Canvas app turns doodles into AI-generated 'photos'

Engadget

NVIDIA has launched a new app you can use to paint life-like landscape images -- even if you have zero artistic skills and a first grader can draw better than you. The new application is called Canvas, and it can turn childlike doodles and sketches into photorealistic landscape images in real time. It's now available for download as a free beta, though you can only use it if your machine is equipped with an NVIDIA RTX GPU. Canvas is powered by the GauGAN AI painting tool, which NVIDIA Research developed and trained using 5 million images. When the company first introduced GauGAN to the world, NVIDIA VP Bryan Catanzaro, described its technology as a "smart paintbrush."


Top 10 most innovative Artificial intelligence companies of 2020 - CLOUDit-eg

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A wind of innovation is blowing in the artificial intelligence sector. As artificial intelligence develops, its use cases diversify. Many companies are emerging and exploiting this technology in a relevant and innovative way. Artificial intelligence and machine learning are increasingly popular among companies in all industries. However, AI algorithms tend to overwork processors and GPUs.


Top 10 Artificial Intelligence Companies to Work for in 2020

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Artificial intelligence has arrived at the inflection point where it's to a lesser degree a pattern than a core ingredient across for all intents and purposes of computing. These organizations are applying the technology to everything from getting strokes recognizing water leaks to understanding fast-food orders. What's more, some of them are planning the AI-prepared chips that will release much increasingly algorithmic developments in the years to come. Let's look at some incredible AI companies where you can unleash your potential Trade giant Amazon has put resources into both the consumer-oriented side of AI and in applications for organizations and their procedures. Alexa, the organization's AI language assistant, integrated into its echo speaker series, is notable around the world.


Understanding GauGAN Part 1 Paperspace Blog

#artificialintelligence

One of the most interesting papers presented at CVPR in 2019 was Nvidia's Semantic Image Synthesis with Spatially-Adaptive Normalization. This features their new algorithm, GauGAN, which can effectively turn doodles into reality. The technology has been in the works for some time, starting from Nvidia's debut of Pix2PixHD in 2017 and Vid2Vid in 2018. Finally, 2019 gave us the impressive addition of GauGAN. It'll be interesting to see what Nvidia has in store for 2020. In this article we'll see how the GauGAN algorithm works on a granular level.


Generative adversarial networks: What GANs are and how they've evolved

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Perhaps you've read about AI capable of producing humanlike speech or generating images of people that are difficult to distinguish from real-life photographs. More often than not, these systems build upon generative adversarial networks (GANs), which are two-part AI models consisting of a generator that creates samples and a discriminator that attempts to differentiate between the generated samples and real-world samples. This unique arrangement enables GANs to achieve impressive feats of media synthesis, from composing melodies and swapping sheep for giraffes to hallucinating footage of ice skaters and soccer players. In point of fact, it's because of this prowess that GANs have been used to produce problematic content like deepfakes, which is media that takes a person in existing media and replaces them with someone else's likeness. The evolution of GANs -- which Facebook AI research director Yann LeCun has called the most interesting idea of the decade -- is somewhat long and winding, and very much continues to this day.


AI app transforms black and white photos into colour

Daily Mail - Science & tech

An online tool has been unveiled which is capable of bringing black and white photographs to life instantaneously by adding colour to them using artificial intelligence. Colourisation of old images is a normally time consuming process which requires specialist training and expensive software. The tool, ColouriseSG, is able to do it for free from only a single digital image and works on iconic historical photographs and old family portraits. Try it for yourself here or via the interactive tool below. The artificial intelligence is able to colourise images for free from only a single digital image and works on iconic historical photographs and old family portraits.


Nvidia unveils incredible 'smart paintbrush' software that uses AI to turn simple doodles into art

Daily Mail - Science & tech

A new piece of software developed by American tech company, NVIDIA, uses deep-learning to elevate even the roughest sketches into works of art. The new program, dubbed GauGAN, after famous French impressionist Paul Gaugin, uses a tool called generative adversarial networks (GAN) to interpret simple lines and convert them into hyper-realistic images. Its application could help professionals across a range of disciplines such as architecture and urban planning render images and visualizations faster and with greater accuracy, according to the company. A new piece of software developed by American tech company, NVIDIA, uses deep-learning to elevate even the roughest sketches into works of art. Simple shapes become mountains and lakes with just a stroke of what NVIDIA calls a'smart paintbrush' Artificial intelligence systems rely on neural networks, which try to simulate the way the brain works in order to learn.


Nvidia AI turns sketches into photorealistic landscapes in seconds

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Today at Nvidia GTC 2019, the company unveiled a stunning image creator. Using generative adversarial networks, users of the software are with just a few clicks able to sketch images that are nearly photorealistic. The software will instantly turn a couple of lines into a gorgeous mountaintop sunset. This is MS Paint for the AI age. Called GauGAN, the software is just a demonstration of what's possible with Nvidia's neural network platforms.