Manually modeling a 3D virtual world that reflects this is incredibly time consuming, making it difficult to fill out a detailed digital environment. The real world is full of variety: streets are lined with unique buildings, with different vehicles whizzing by and diverse crowds passing through. It Takes AI Kinds to Make a Virtual World GET3D is one of more than 20 NVIDIA-authored papers and workshops accepted to the NeurIPS AI conference, taking place in New Orleans and virtually, Nov. “Its ability to instantly generate textured 3D shapes could be a game-changer for developers, helping them rapidly populate virtual worlds with varied and interesting objects.” “GET3D brings us a step closer to democratizing AI-powered 3D content creation,” said Sanja Fidler, vice president of AI research at NVIDIA, who leads the Toronto-based AI lab that created the tool. Given chairs, the model generates assorted swivel chairs, dining chairs and cozy recliners. When trained on animal images, it comes up with creatures such as foxes, rhinos, horses and bears. With a training dataset of 2D car images, for example, it creates a collection of sedans, trucks, race cars and vans. Like an artist who turns a lump of clay into a detailed sculpture, the model transforms numbers into complex 3D shapes. GET3D can generate a virtually unlimited number of 3D shapes based on the data it’s trained on. The generated objects could be used in 3D representations of buildings, outdoor spaces or entire cities, designed for industries including gaming, robotics, architecture and social media. These 3D objects are created in the same format used by popular graphics software applications, allowing users to immediately import their shapes into 3D renderers and game engines for further editing. Trained using only 2D images, NVIDIA GET3D generates 3D shapes with high-fidelity textures and complex geometric details. The massive virtual worlds created by growing numbers of companies and creators could be more easily populated with a diverse array of 3D buildings, vehicles, characters and more - thanks to a new AI model from NVIDIA Research.
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