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...
| Những tác giả chính: | , , |
|---|---|
| Định dạng: | Conference item |
| Được phát hành: |
Springer
2019
|