3D Object Super-Resolution

2 papers with code • 0 benchmarks • 1 datasets

3D object super-resolution is the task of up-sampling 3D objects.

( Image credit: Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation )

Most implemented papers

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

jianwen-xie/3DDescriptorNet CVPR 2018

This paper proposes a 3D shape descriptor network, which is a deep convolutional energy-based model, for modeling volumetric shape patterns.