Weakly Supervised Generative Adversarial Networks for 3D
11 months ago.
Updated 11 months ago.
Something that we often take for granted as humans is the ability to look an object and have an approximately correct mental model of itâs 3D shape. For example, if you were to see a small image of a steering wheel, youâd probably have a fairly accurate statistical representation of other aspects of the car. Youâd have a pretty good guess of where the driver might be, the engine, the four wheels, etc.
However, this intuitive approach for humans is difficult for machines. Therefore, we need to develop techniques to pass this information to machines. The faster / easier it is for us to do so, the more quickly we can leverage this technology and itâs widespread applications.
These researchers are working on improving just that. Their work is taking 2D imagery and generating 3D representations of the object. This is incredible work and Iâm super excited to see better / faster ways of inputting 3D data into a world that weâre starting to explore with things like augmented & virtual reality.
Check out their paper here: https://arxiv.org/pdf/1705.10904.pdf
Are you a Machine Learning Engineer looking for a new job? Machine Learning Jobs by Amazon: http://jobs.ai-guild.com