Nvidia introduced Latte3D to immediately generate 3D shapes from text using generative AI. The text-to-3D generative AI model can generate high-quality 3D shapes in milliseconds.

According to Nvidia, Latte3D, developed by Nvidia’s AI lab team in Toronto, represents a big advance in the sphere of artificial intelligence, enabling near real-time generation of 3D objects and animals from easy text input.

Sanja Fidler, vice chairman of AI research at Nvidia, praised Latte3D as a game-changer for developers across industries.

“We can now produce results an order of magnitude faster, making near real-time text-to-3D generation possible for developers across all industries,” Fidler said in a press release.

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The heart of Latte3D lies in its ability to convert text prompts into detailed 3D representations, much like a virtual 3D printer. Using a single graphics processing unit (GPU) just like the Nvidia RTX A6000, the model can immediately generate complicated 3D shapes, eliminating time-consuming rendering processes.

Instead of laboriously designing objects from scratch or looking through 3D asset libraries, developers can now depend on Latte3D to bring their ideas to life quickly and efficiently. The mockup offers multiple shape options based on each text input, allowing users to decide on essentially the most suitable design for his or her needs.

After chatting with many experts in the sphere, they fear that it is basically difficult to govern a generative image to make it exactly what you wish it to be. It’s easy to provide you with an idea, but then using words to show that idea into something you really need is the large challenge.

Latte3D’s versatility extends beyond the initial training datasets, which include animals and on a regular basis objects. Developers have the flexibleness to coach the model on different data types, enabling applications in various fields resembling landscaping and robotics.

For landscape architects, Latte3D could speed up the means of filling out garden renderings with lifelike foliage, while robotics developers could use the model to simulate household environments for training personal assistant robots.

Latte3D relies on Nvidia A100 Tensor Core GPUs and is trained on various text prompts generated with ChatGPT. Latte3D demonstrates Nvidia’s commitment to advancing AI-driven content creation tools. The model’s ability to process a big selection of text descriptions ensures accurate and responsive shape generation tailored to the user’s needs.

As a part of Nvidia Research’s ongoing efforts to push the boundaries of AI and computer graphics, Latte3D is a testament to the corporate’s commitment to innovation. With a whole lot of scientists and engineers worldwide, Nvidia continues to drive advances in AI, computer vision, self-driving cars and robotics.

This article was originally published at venturebeat.com