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NVIDIA's New AI Procedurally Generates Interior Designs

The new framework generates new rooms using a set room type and its floor plan.

The NVIDIA AI team has recently presented ATISS, a new autoregressive transformer architecture that allows generating new indoor environments using the set room type and its floor plan. The new model, unlike similar previous frameworks, is said to create rooms as unordered sets of objects.

"Our model leverages the permutation equivariance of the transformer when conditioning on the partial scene, and is trained to be permutation-invariant across object orderings. Our model is trained end-to-end as an autoregressive generative model using only labeled 3D bounding boxes as supervision," wrote the team. "Our formulation allows applying a single trained model to automatic layout synthesis and to a number of interactive scenarios with versatile user input, such as automatic placement of user-provided objects, object suggestion with user-provided constraints, and room completion."

What does the whole thing mean in a few words? Well, you could potentially train such a system using a set of examples, give it an IKEA catalog and make it generate new interiors in a matter of seconds to decorate new spaces. That might sound a bit scary for designers, yes, but these systems still need an initial style.

The official page features the team's paper on the matter, a number of examples, and more. You can learn more about the project and find the code here

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