Variants: Each model includes all high-resolution variants, resulting in a total of 1,659,097 3D instances. Specialized Subsets: For the rigged and animated categories of models, we further obtain the ...
Abstract: Point cloud 3D object detection technology has increasingly gained attention due to its precision in rendering three-dimensional environments essential for autonomous driving. However, ...
LLaVA-3D could perform both 2D and 3D vision-language tasks. The left block (b) shows that compared with previous 3D LMMs, our LLaVA-3D achieves state-of-the-art performance across a wide range of 3D ...
Abstract: 3D single object tracking based on point clouds is a key challenge in robotics and autonomous driving technology. Mainstream methods rely on point clouds for geometric matching or motion ...
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