Abstract: We propose an interactive approach for 3D instance segmentation, where users can iteratively collaborate with a deep learning model to segment objects directly in a 3D point cloud. Current ...

Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...

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⭐ Our work is the first to explore in-context learning in 3D point clouds, including task definition, benchmark, and baseline models. The first work to explore the application of in-context learning ...

Abstract: Keypoint detection plays a fundamental role in many applications, such as 3D reconstruction, object registration, and shape retrieval, and has attracted significant interest from researchers ...