Interacted Planes Reveal 3D Line Mapping

• URL: http://arxiv.org/abs/2602.01296v1
• Date: Sun, 01 Feb 2026 15:52:55 GMT
• Title: Interacted Planes Reveal 3D Line Mapping
• Authors: Zeran Ke, Bin Tan, Gui-Song Xia, Yujun Shen, Nan Xue,
• Abstract summary: LiP-Map is a line-plane joint optimization framework for 3D line mapping.<n>On more than 100 scenes from ScanNetV2, ScanNet++, Hypersim, 7Scenes, and Tanks&Temple, LiP-Map improves both accuracy and completeness over state-of-the-art methods.
• Score: 73.60851338875962
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 3D line mapping from multi-view RGB images provides a compact and structured visual representation of scenes. We study the problem from a physical and topological perspective: a 3D line most naturally emerges as the edge of a finite 3D planar patch. We present LiP-Map, a line-plane joint optimization framework that explicitly models learnable line and planar primitives. This coupling enables accurate and detailed 3D line mapping while maintaining strong efficiency (typically completing a reconstruction in 3 to 5 minutes per scene). LiP-Map pioneers the integration of planar topology into 3D line mapping, not by imposing pairwise coplanarity constraints but by explicitly constructing interactions between plane and line primitives, thus offering a principled route toward structured reconstruction in man-made environments. On more than 100 scenes from ScanNetV2, ScanNet++, Hypersim, 7Scenes, and Tanks\&Temple, LiP-Map improves both accuracy and completeness over state-of-the-art methods. Beyond line mapping quality, LiP-Map significantly advances line-assisted visual localization, establishing strong performance on 7Scenes. Our code is released at https://github.com/calmke/LiPMAP for reproducible research.

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