We present 3DP3, a framework for inverse graphics that uses inference in a structured generative model of objects, scenes, and images. 3DP3 uses (i) voxel models to represent …
Open-universe probabilistic models enable Bayesian inference about how many objects underlie data, and how they are related. Effective inference in OUPMs remains a challenge …
Probabilistic inference provides a powerful theoretical framework for engineering intelligent systems. However, diverse modeling approaches and inference algorithms are needed to …
Having a precise understanding of the distribution over worlds a robot will face is critical to most problems in robotics. This distribution informs mechanical and software design …
Recent advances in probabilistic programming have enabled the development of probabilistic generative models for visual perception using a rich abstract representation of …