Abstract: Hierarchical decoders are widely employed in semantic segmentation architectures, where feature upsampling and fusion are critical at each layer. However, inaccuracies in feature position ...
Abstract: Point cloud upsampling (PCU) aims to transform sparse and unevenly distributed point clouds into dense and uniform counterparts with intricate geometric details of real-world objects.
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