3 papers
cs.CV2022
High-fidelity 3D Model Compression based on Key Spheres
Yuanzhan Li, Yuqi Liu, Yujie Lu +3
In recent years, neural signed distance function (SDF) has become one of the most effective representation methods for 3D models. By learning continuous SDFs in 3D space, neural ne…
cs.CV2021
SN-Graph: a Minimalist 3D Object Representation for Classification
Siyu Zhang, Hui Cao, Yuqi Liu +4
Using deep learning techniques to process 3D objects has achieved many successes. However, few methods focus on the representation of 3D objects, which could be more effective for…
cs.CV2020
InSphereNet: a Concise Representation and Classification Method for 3D Object
Hui Cao, Haikuan Du, Siyu Zhang +1
In this paper, we present an InSphereNet method for the problem of 3D object classification. Unlike previous methods that use points, voxels, or multi-view images as inputs of deep…