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.

Faculty Supervisor:

Aaron Courville

Student:

Florian Golemo

Partner:

Element AI

Discipline:

Computer science

Sector:

University:

Université de Montréal

Program:

Accelerate

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