Nvidia introduces GauGAN to turn sketches into realistic landscapes
Category: #tech  By Nikita Chaurasia  Date: 2019-03-20
  • shareshare_icon
  • Twitter
  • Facebook
  • LinkedIn

Nvidia introduces GauGAN to turn sketches into realistic landscapes

The program can blend hundreds of thousands of objects and their connection to other objects in the real world

Nvidia Research has recently introduced a generative adversarial AI system named GauGAN that allows one to create photorealistic landscapes in seconds. The neural network of GauGAN has been trained with 1 million open source Flickr images and can comprehend the relationship among more than 180 objects like water, snow, flowers, tree, bushes, mountains or hills.

The company revealed that this program can blend hundreds of thousands of objects and their connection to other objects in the real world. GauGAN is apparently just one of the advanced reality-bending AI systems from Nvidia, producer of deepfake tech which can produce realistic images of people who never existed.

With the help of this system, the user can create the shape of a tree with the usage of input tools and it will create a realistic tree. Make a straight line it will create a plain trunk. Also, a tree next to a water source will display a reflection and when there is a change in season, snow would cover the ground and tree will be without leaves.

Reliable sources mentioned that GauGAN creates results that are unique and impressive. With this software, style transfer can also be possible so that an image can show the cooler lights of a city’s skyline or adopt a warm sunset glow.

GauGAN is supposedly a multimodal system, meaning that if two users produce the same sketch with the exact setting, it will ensure that the software creates different results with the random numbers built into the projects.

Sources informed that in order to create real time results, GauGAN has to run on a Tensor computing platform and Nvidia displayed the software on an RDX Titan GPU platform. According to Bryan Catanzaro, VP of Applied Deep Learning Research reported that with some alternations, GauGAN can run efficiently on any platform, including CPUs.

GauGAN builds from the learnings of Pix2Pix system, released last year, which can exhibit virtual worlds, sources added.

  • shareshare_icon
  • Twitter
  • Facebook
  • LinkedIn


About Author

Nikita Chaurasia     twitter

Nikita Chaurasia

Having always been daft at wordplay, Nikita Chaurasia, post the completion of post-graduation, commenced her journey into the content generation cosmos. Endowed with a professional MBA degree in Advertising and Public Relations, Nikita strives to integrate her creativ...

Read More..

More News By Nikita Chaurasia

3D-model platform Sketchfab becomes Epic Games’ next big acquisition

3D-model platform Sketchfab becomes Epic Games’ next big acquisition

By Nikita Chaurasia

After RAD Game Tools and Quixel Megascans, American video game and software development company Epic Games Inc. has now acquired Sketchfab, the platform that boasts of over 4 million 3D models where artists can publish, modify, and sell their creatio...

Flipkart app now has a 3D camera for an immersive AR e-comm experience

Flipkart app now has a 3D camera for an immersive AR e-comm experience

By Nikita Chaurasia

Indian e-commerce giant Flipkart has introduced an Augmented Reality (AR) infused e-commerce experience with Flipkart Camera that would allow shoppers a real-life experience before purchasing a product. The novel feature built in the app should help ...

SPAC Stonebridge Acquisition raises USD 200 million during U.S. IPO

SPAC Stonebridge Acquisition raises USD 200 million during U.S. IPO

By Nikita Chaurasia

The India-focused SPAC intends to reach its target within 12-16 months. The fresh funds will be used to acquire Indian businesses valued between USD 1-1.5 billion. Texas-based special purpose acquisition company (SPAC) Stonebridge Acquisition Co...