arXiv:2009.02857
3D Room Layout Estimation Beyond the Manhattan World Assumption
원문 초록
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.
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uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
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