Called LOGAN, the deep neural network, i.e., a machine of sorts, can learn to transform the shapes of two different objects, for example, a chair and a table, in a natural way, without seeing any ...
Researchers at Science Tokyo have developed a neural inverse rendering method that accurately reconstructs the three-dimensional (3D) shapes of moving objects using only three standard projection ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More State-of-the-art machine learning algorithms can extract two-dimensional ...
Researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. Using the dataset -- the largest and most diverse of its ...
Researchers from the Human Computer Interaction Institute (HCII) and Robotics Institute (RI) at Carnegie Mellon University introduced a novel method for fabricating functional flat-to-shape objects ...
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