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Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance

By Fangzhou Lin and others
3D point clouds enhanced the robot's ability to perceive the geometrical information of the environments, making it possible for many downstream tasks such as grasp pose detection and scene understanding. The performance of these tasks, though, heavily relies on the quality of data input, as incomplete can lead to poor... Show more
September 10, 2024
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Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance
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