More specifically, we complete missing parts of the objects in a conditional manner, where the partial or completed point cloud of the other object is used as ...
We focus on pairwise scenes where two objects are in close proximity and are contextually related to each other, such as a chair tucked in a desk, a fruit in a ...
We propose a partial point cloud completion approach for scenes that are composed of multiple objects. We focus on pairwise scenes where two objects are in ...
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Point cloud completion aims to utilize algorithms to repair missing parts in 3D data for high-quality point clouds. This technology is crucial for ...
Dec 7, 2023 · Abstract—Point cloud completion estimates complete shapes from incomplete point clouds to obtain higher-quality point cloud data.
Point cloud completion aims to recover the completed 3D shape of an object from its partial observation. A common strategy is to encode the observed points ...
We propose a group-in-group relation-based transformer architecture to learn the relationships between point groups to model global information.
Jan 23, 2024 · A novel coarse-to-fine point completion network (DCSE-PCN) is introduced in this work using the modules of local details compensation and shape structure ...
6 days ago · Based on the interface, our method predicts the coarse shape by learning the displacement from the points in interface move to their ...
To address these issues, we propose WalkFormer, a novel approach to predict complete point clouds through a partial deformation process. Concretely, our method.