Representation learning of point cloud upsampling in global and local inputs

• Published in: Computer vision and image understanding Vol. 260; p. 104467
• Main Authors: Zhang, Tongxu, Wang, Bei
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.10.2025
• Subjects: Deep learning; Feature extract; Interpretability; Point cloud; Upsampling; Deep learning; Upsampling; Feature extract; Point cloud; Interpretability

In recent years, point cloud upsampling has been widely applied in tasks such as 3D reconstruction and object recognition. This study proposed a novel framework, ReLPU, which enhances upsampling performance by explicitly learning from both global and local structural features of point clouds. Specif...