Deep Single-View 3D Object Reconstruction with Visual Hull Embedding

Understand

3D object reconstruction is a fundamental task of many robotics and AI problems.

• With the aid of deep convolutional neural networks (CNNs), 3D object reconstruction has witnessed a significant progress in recent years.
• However, possibly due to the prohibitively high dimension of the 3D object space, the results from deep CNNs are often prone to missing some shape details.
• In this paper, we present an approach which aims to preserve more shape details and improve the reconstruction quality.