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Point Cloud Super Resolution

4 papers with code · Computer Vision

Point cloud super-resolution is a fundamental problem for 3D reconstruction and 3D data understanding. It takes a low-resolution (LR) point cloud as input and generates a high-resolution (HR) point cloud with rich details

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PU-Net: Point Cloud Upsampling Network

CVPR 2018 yulequan/PU-Net

Learning and analyzing 3D point clouds with deep networks is challenging due to the sparseness and irregularity of the data.

POINT CLOUD SUPER RESOLUTION

PU-GAN: a Point Cloud Upsampling Adversarial Network

ICCV 2019 liruihui/PU-GAN

Point clouds acquired from range scans are often sparse, noisy, and non-uniform.

3D RECONSTRUCTION POINT CLOUD SUPER RESOLUTION