Thinking outside the box: Generation of unconstrained 3D room layouts

We propose a method for room layout estimation that does not rely on the typical box approximation or Manhattan world assumption. Instead, we reformulate the geometry inference problem as an instance detection task, which we solve by directly regressing 3D planes using an R-CNN. We then use a varian...

詳細記述

書誌詳細
主要な著者: Howard-Jenkins, J, Li, S, Prisacariu, V
フォーマット: Conference item
出版事項: Springer 2019