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Lego skyscraper manual#
Starting with a 3D model of the components, the current state of the Lego set, and 2D manual images, MEPNet "predicts a set of 2D keypoints and masks for each component," the researchers wrote. MEPNet, the researchers said, combines both. This "increases the difficulty for machines to interpret Lego manuals: it requires inferring 3D poses of unseen objects composed of seen primitives," the researchers said. The researchers said there are a couple key problems going from visual instructions that, like Lego sets, consist entirely of images: Identifying correspondence between 2D and 3D objects, and dealing with a lot of basic pieces, like Lego.īasic Lego bricks, the researchers said, are often assembled into complex forms before being added to the main body of the model. Interpreting 2D instructions isn't easy for artificial intelligence. The Manual-to-Executable-Plan Network, or MEPNet, was tested on computer-generated Lego sets, real Lego set instructions and Minecraft-style voxel building plans, and the researchers said it outperformed existing methods across the board. Researchers at Stanford University, MIT's Computer Science and Artificial Intelligence Lab, and the Autodesk AI Lab have collaborated to develop a novel learning-based framework that can interpret 2D instructions to build 3D objects. Stumped by a Lego set? A new machine learning framework can interpret those instructions for you.