Abstract: We present PU-Mask, a virtual mask-based network for 3D point cloud upsampling. Unlike existing upsampling methods, which treat point cloud upsampling as an “unconstrained generative” ...
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 ...
Official implementation of PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation, accepted at ICCV 2025 e2e3D Workshop. The script can handle point clouds of any size, limited only by ...
A Dockerfile is provided to help you relief the pain of configurate training environment. See the instructions in here. This repository is based on Tensorflow and the TF operators from PointNet++.
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