Completing 3D Object Shape

Our goal is to recover a complete 3D model from a depth image of an object. Existing approaches rely on user interaction or apply to a limited class of objects, such as chairs. We aim to fully automatically reconstruct a 3D model from any category. We take an exemplar-based approach: retrieve similar objects in a database of 3D models using view-based matching and transfer the symmetries and surfaces from retrieved models.

Publication

Completing 3D Object Shape from One Depth Image
Jason Rock, Tanmay Gupta, Justin Thorsen, JunYoung Gwak, Daeyun Shin, Derek Hoiem
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015

Code and Data

Clone the code, and extract the trained models and data in the top code directory. See README in the Main/ directory.