Instant NeRF technology was revolutionary in its ability create immersive 3D images from flat 2D images. Its presentation did not leave anyone indifferent, and today NVIDIA dived into it to reveal all its keys to us in a deeper and more detailed way in a new episode of the NVIDIA AI Decoded series.

This tool uses artificial intelligence get the information you need when it comes to converting these 2D scenes into 3D scenes, and thanks to the hardware acceleration offered by GeForce RTX 20 and higher graphics cards, it is able to offer an excellent level of performance.

It was launched in 2022 and has received a number of updates and improvements during that time, making Instant NeRF one of the best tools in its class. The latest version is compatible with virtual realitywhich facilitates the creation of memories and three-dimensional photos based on 2D models, which can be easily enjoyed with a virtual reality kit.

Immediate NeRF can be used with a wide variety of configurationsalthough for the best possible experience it is ideal to use it with GeForce RTX, because as I said before, these graphics cards have dedicated hardware for AI acceleration, i.e. tensor cores.

Instant-NGP software, the Instant NeRF engine, is available on GitHub and has been designed think about all user profileswhich means that even those with less knowledge will be able to start using it without having to face a difficult learning curve, which makes it an even more interesting solution because it is aimed at a wide group of users and does not discriminate against those with a more basic level.

The practical applications of Instant NeRF since its launch have been many and varied. Among the most amazing Undoubtedly, the Se Balancer by Franc Lucent and Meditation by Franc Lucent stand out. Both were created from 2D images and are the best example of the huge potential this technology has. If you want to know more, don’t miss the article that NVIDIA shared on its official blog.