  Predicting 3D room layout from single image is a challenging task with many
applications. In this paper, we propose a new training and post-processing
method for 3D room layout estimation, built on a recent state-of-the-art 3D
room layout estimation model. Experimental results show our method outperforms
state-of-the-art approaches by a large margin in predicting visible room
layout. Our method has obtained the 3rd place in 2020 Holistic Scene Structures
for 3D Vision Workshop.

Computer Vision and Pattern Recognition;Machine Learning