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

Japan’s SoftBank amid plans to invest in venture capital funds
Japan’s SoftBank amid plans to invest in venture capital funds
By Nikita Chaurasia

The conglomerate plans to mark its presence in Latin America by investing in venture capital funds, with a strategy to deploy nearly $500 million in five to 10 funds. SoftBank Group Corp., a multinational conglomerate based out of Tokyo, reportedly ...

TG Manufacturing acquires contract manufacturing firm TurnKey
TG Manufacturing acquires contract manufacturing firm TurnKey
By Nikita Chaurasia

TurnKey presently supplies a varied group of consumers in the industrial laboratory, defense and gaming industries among others. Using TGM’s advanced manufacturing technology, quality systems and global network and combining them with TurnKe...

Oxurion concludes enrollment of patients for THR-687 Phase 1 trial
Oxurion concludes enrollment of patients for THR-687 Phase 1 trial
By Nikita Chaurasia

12 patients with DME have enrolled into the study.   The results for the Phase 1 trial will be out by the end of 2019. Oxurion NV, a biopharmaceutical firm involved in the development of innovative treatments to preserve vision of diabetic...