Watch: NVIDIA System Converts Real Life Into a Virtual World -- But Probably Won't Replace Actual Virtual Worlds

Using a complex system of algorithms which marketers insist on calling "AI" (making my teeth grind in the process), engineers at NVIDIA have made it possible to convert real world video into a 3D virtual world:

The network operates on high-level descriptions of a scene, for example: segmentation maps or edge maps, that describe where objects are and their general characteristics, such as whether a particular part of the image contains a car or a building, or where the edges of an object are. The network then fills in the details based on what it learned from real life videos. The demo allows attendees to navigate a virtual urban environment that is being rendered by this neural network. The network was trained on videos of real-life urban environments. The conditional generative neural network learned to approximate the visual dynamics of the world such as lighting, and materials. Since the output is synthetically generated, a scene can be easily edited to remove, modify, or add objects.

My first thought was, "Hundreds of level and map designers are soon gonna be out of a job." My second thought was: Don't be dense. 

The thing about most real world locations is, they're complicated and largely boring, with noteworthy areas stitched together in a random, annoying, disjointed patchwork. The best human game designers, by contrast, create virtual spaces which have a sense of flow, consistency, and place-ness that's better than the real world. So for instance, the "world" of Skyrim feels like a deep and massive kingdom -- but in fact, it's much smaller than San Francisco. I doubt this AI system can create a virtual world that subtle -- unless human designers get involved in the editing and shaping.

Hat tip: USC's Mike Zyda.

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