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OpenAD is the first open-world 3D object detection benchmark for autonomous driving. We meticulously selected 2,000 scenes from 5 public datasets and annotated 6,597 3D corner cases for these scenes.

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We focus on the task of amodal 3D object detection in RGB-D images, which aims to produce a 3D bounding box of an object in metric form at its full extent. We introduce Deep Sliding Shapes, a 3D ...

In this research, we present a new method on how to reconstruct 3D object from 2D images by employing Variational Autoencoders (VAE). His generality is a bit stark; however, it is well justified given ...