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AI Generates Photorealistic 3D Scenes And Lets You Edit Them As Well

AI Generates Photorealistic 3D Scenes And Lets You Edit Them As Well

Artificial intelligence models could soon be used to instantly create or edit near-photorealistic three-dimensional scenes on a laptop. The tools could help artists working on games and CGI in films or be used to create hyperrealistic avatars.

AIs have been able to produce realistic 2D images for some time, but 3D scenes have proved to be trickier due to the sheer computing power required.

Now, Eric Ryan Chan at Stanford University in California and his colleagues have created an AI model, EG3D, that can generate random images of faces and other objects in high resolution together with an underlying geometric structure.

“It’s among the first [3D models] to achieve rendering quality approaching photorealism,” says Chan. “On top of that, it generates finely detailed 3D shapes and it’s fast enough to run in real time on a laptop.”

EG3D and its predecessors use a type of machine learning called a generative adversarial network (GAN) to produce images. These systems turn two neural networks against each other by using one to generate images and another to judge their accuracy. They repeat this process many times until the result is realistic.

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Chan’s team used features from existing high-resolution 2D GANs and added a component that can convert these images for 3D space. “By breaking down the architecture into two pieces… we solve two problems at once: computational efficiency and backwards compatibility with existing architectures,” says Chan.

3D faces generated by the EG3D artificial intelligence

Jon Eriksson/Stanford Computational Imaging Lab

However, while models like EG3D can produce 3D images that are near photorealistic, they can be difficult to edit in design…

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