Nvidia introduces GauGAN to turn sketches into realistic landscapes
Category: #tech  By Nikita Chaurasia  Date: 2019-03-20
  • share
  • 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.

  • share
  • Twitter
  • Facebook
  • LinkedIn


About Author

Nikita Chaurasia    

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

GSK, Zymeworks expand partnership for bispecific antibody development
GSK, Zymeworks expand partnership for bispecific antibody development
By Nikita Chaurasia

GSK anticipates using Zymeworks’ Azymetric technology for developing bispecifics drugs that treat communicable diseases Zymeworks Inc, a clinical-stage biopharmaceutical company, has recently announced that GSK has extended its 2016 licensing ...

Vertex, Kymera join forces for developing protein degradation drugs
Vertex, Kymera join forces for developing protein degradation drugs
By Nikita Chaurasia

Vertex would be paying $70 million in advance to work with Kymera including an equity investment in the company Kymera Therapeutics and Vertex Pharmaceuticals Incorporated (VRTX) have reportedly announced that they are entering into a four-year rese...

Amazon plans job cuts as it deploys machines to pack orders
Amazon plans job cuts as it deploys machines to pack orders
By Nikita Chaurasia

Amazon is well known for its drive to automate as many segments of its business as possible. The American multinational technology company Amazon Inc. is reportedly planning to deploy machines to automate boxing up customer orders. The company has i...