Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …

In this paper, we propose a novel network, SVDFormer, to tackle two specific challenges in
point cloud completion: understanding faithful global shapes from incomplete point clouds …

In this paper, we explore a novel framework, EGIInet (Explicitly Guided Information
Interaction Network), a model for View-guided Point cloud Completion (ViPC) task, which …

Point cloud completion referring to completing 3D shapes from partial 3D point clouds is a
fundamental problem for 3D point cloud analysis tasks. Benefiting from the development of …

Point cloud sampling is crucial for efficient large-scale point cloud analysis, where learning-
to-sample methods have recently received increasing attention from the community for …

How will you repair a physical object with some missings? You may imagine its original
shape from previously captured images, recover its overall (global) but coarse shape first …

The completion of point cloud directly affects the accuracy of primitive parameter extraction
and 3D reconstruction. Due to the limitations of sensor scanning, point cloud are often …

We present a novel neural surface reconstruction method called NeuralRoom for
reconstructing room-sized indoor scenes directly from a set of 2D images. Recently, implicit …

Scanned point clouds are often sparse and incomplete due to the limited field of view of
sensing devices, significantly impeding the performance of downstream applications …

3D scene graph generation (SGG) has been of high interest in computer vision. Although the
accuracy of 3D SGG on coarse classification and single relation label has been gradually …