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In traditional 3D modeling, the process often begins with a concept sketch or a 2D image. Designers then have to manually interpret these flat visuals and reconstruct them in a 3D environment.

The AI research labs at Facebook, Nvidia, and startups like Threedy.ai have at various points tried their hand at the challenge of 2D-object-to-3D-shape conversion. But in a new preprint paper, a ...

Specifically, MonoCon is capable of identifying 3D objects in 2D images and placing them in a "bounding box," which effectively tells the AI the outermost edges of the relevant object.

So first his system renders a 3D reconstruction of the 2D image in very low resolution. You can still get a lot from that — for example, that the outer third of the whole volume appears to be empty.

An AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D shapes.