Recent work on Neural Radiance Fields (NeRF) has demonstrated significan...
In this paper, we introduce a realistic and challenging domain adaptatio...
3D shape completion from point clouds is a challenging task, especially ...
Being data-driven is one of the most iconic properties of deep learning
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It is very challenging to accurately reconstruct sophisticated human geo...
Semi-supervised domain adaptation (SSDA) aims to apply knowledge learned...
Semantic segmentation of point cloud usually relies on dense annotation ...
Unsupervised anomaly detection and localization is crucial to the practi...
Caricature is an artistic representation that deliberately exaggerates t...