Despite the success of recent upsampling approaches generating high-resolution point sets
with uniform distribution and meticulous structures is still challenging. Unlike existing …

Point cloud upsampling concerns producing a dense and uniform point set from a sparse
and irregular one. Current upsampling methods primarily encounter two challenges:(i) …

Recently, arbitrary-scale point cloud upsampling mechanism became increasingly popular
due to its efficiency and convenience for practical applications. To achieve this, most …

Point cloud registration is a fundamental task in the 3D vision field. Many previous works
adopt the regression model to estimate the transformation parameters. However, these …

In this study, we propose a novel self-supervised approach for point cloud upsampling,
integrating a pre-trained denoising phase to enhance the quality and accuracy of the …

Depth estimation plays a pivotal role in autonomous driving, facilitating a comprehensive
understanding of the vehicle's 3D surroundings. Radar, with its robustness to adverse …

Recovering dense and uniformly distributed point clouds from sparse or noisy data remains
a significant challenge. Recently, great progress has been made on these tasks, but usually …