Facebook AI: Pushing state-of-the-art in 3D content understanding

In order to interpret the world around us, AI systems must understand visual scenes in three dimensions. This need extends beyond robotics, navigation, and even augmented reality applications. Even with 2D photos and videos, the scenes and objects depicted are themselves three-dimensional, of course, and truly intelligent content-understanding systems must be able to recognize the geometry of a cup’s handle when it’s being rotated in a video, or identify which objects are in the foreground and background of a photo.

Today, we’re sharing details on several new Facebook AI research projects that advance the state of the art in 3D image understanding in different but complementary ways. This work, which is being presented at the International Conference on Computer Vision (ICCV) in Seoul, addresses a variety of use cases and circumstances, with different types and amounts of training data and inputs.

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