新的Co-PLNet框架提高了线框解析的准确性和效率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-17 04:00

研究人员推出了一种新颖的线框解析框架Co-PLNet，提高了几何表示的准确性和效率。该点线协同网络整合了线和节点预测任务之间的空间线索，解决了先前方法中发现的不一致性。Co-PLNet利用点线提示编码器将早期检测转换为空间提示，并使用交叉引导线解码器进行优化，在基准数据集上展示了改进的性能。 AI

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arXiv stat.ML TIER_1 English(EN) · Chao Wang, Xuanying Li, Cheng Dai, Jinglei Feng, Yuxiang Luo, Hao Qin, Yuqi Ouyang · 2026-06-17 04:00

Co-PLNet：用于提示引导式线框解析的协同点线网络

arXiv:2601.18252v2 Announce Type: replace-cross Abstract: Wireframe parsing aims to recover line segments and their junctions to form a structured geometric representation useful for downstream tasks such as Simultaneous Localization and Mapping (SLAM). Existing methods predict l…