D3D-HOI is a dataset of monocular videos with ground truth annotations of 3D object pose, shape and part motion during human-object interactions. The dataset consists of several common articulated objects captured from diverse real-world scenes and camera viewpoints. Each manipulated object (e.g., microwave oven) is represented with a matching 3D parametric model. This data allows researchers to evaluate the reconstruction quality of articulated objects and establish a benchmark for this challenging task.
Papers
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