In recent years, there has been a significant increase in focus on the interpolation task of
computer vision. Despite the tremendous advancement of video interpolation, point cloud …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

Recent years have witnessed the success of deep learning methods in quality enhancement
of compressed point cloud. However, existing methods focus on geometry and attribute …

We propose the problem of point-level 3D scene interpolation which aims to simultaneously
reconstruct a 3D scene in two states from multiple views synthesize smooth point-level …

Point cloud frame interpolation is a challenging task that involves accurate scene flow
estimation across frames and maintaining the geometry structure. Prevailing techniques …

Recently standardized MPEG Video-based Point Cloud Compression (V-PCC) codec has
shown promise in achieving a good rate-distortion ratio of dynamic 3D point cloud …

Dynamic 3D point cloud sequences serve as one of the most common and practical
representation modalities of dynamic real-world environments. However, their unstructured …

To address the inaccurate classification of coarse aggregate particle size due to insufficient
height information in single‐view, a multi‐view and graph convolutional network (GCN) …

Point Cloud Interpolation confronts challenges from point sparsity, complex spatiotemporal
dynamics, and the difficulty of deriving complete 3D point clouds from sparse temporal …

We propose mNetS, a system that enables the coexistence of indoor millimeter-wave
(mmWave) networking and sensing for at-home physical rehabilitation and continuous …