The current popular methods for video object segmentation (VOS) implement feature
matching through several hand-crafted modules that separately perform feature extraction …

As it is hard to calibrate single-view RGB images in the wild, existing 3D human mesh
reconstruction (3DHMR) methods either use a constant large focal length or estimate one …

Estimating normals with globally consistent orientations for a raw point cloud has many
downstream geometry processing applications. Despite tremendous efforts in the past …

Place recognition based on point clouds (LiDAR) is an important component for autonomous
robots or self-driving vehicles. Current SOTA performance is achieved on accumulated …

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 …

Recently, the emergence of diffusion models has opened up new opportunities for single-
view reconstruction. However, all the existing methods represent the target object as a …

We introduce GEM3D 1–a new deep, topology-aware generative model of 3D shapes. The
key ingredient of our method is a neural skeleton-based representation encoding …

We propose a novel framework for computing the medial axis transform of 3D shapes while
preserving their medial features via restricted power diagram (RPD). Medial features …

Compact building models are demanded by global smart city applications, while high-
definition urban 3D data is increasingly accessible by dint of the advanced reality capture …

As 3D models become critical in today's manufacturing and product design, conventional 3D
modeling approaches based on Computer-Aided Design (CAD) are labor-intensive, time …