Unsupervised Learning of 3D Scenes from Images using a View-based Representation

We’d like to address the issue of 3D reconstruction from 2D images. This means developing a machine learning algorithm that can take a regular photo as an input and generate a full 3-dimensional reconstruction of the contents of the photo. Such technology can be used creatively or to help the coming generation of robots better understand their surroundings.

Intern: 
Florian Golemo
Superviseur universitaire: 
Aaron Courville
Province: 
Quebec
Partenaire: 
Partner University: 
Discipline: 
Programme: