Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
Ahmed Hatem,Yiming Qian,Yang Wang,Ahmed Hatem,Yiming Qian,Yang Wang
Affordable 3D scanners often produce sparse and non-uniform point clouds that negatively impact downstream applications in robotic systems. While existing point cloud upsampling architectures have demonstrated promising results on standard benchmarks, they tend to experience significant performance drops when the test data have different distributions from the training data. To address this issue,...
