Indoor Layout Estimation

Indoor layout estimation aims to automatically reconstruct the 3D structure of indoor spaces from various sensor inputs, such as panoramic images, 2D LiDAR scans, and cameras. Current research emphasizes robust methods that handle challenging scenarios like low-texture environments, focusing on techniques like transformer-based architectures that efficiently integrate multi-scale features and leverage geometric cues from orthogonal planes. These advancements improve the accuracy and efficiency of layout reconstruction, with implications for applications ranging from robotics and augmented reality to virtual and physical space design.