New Co-PLNet framework enhances wireframe parsing accuracy and efficiency

Researchers have introduced Co-PLNet, a novel framework for wireframe parsing that enhances the accuracy and efficiency of geometric representation. This point-line collaborative network integrates spatial cues between line and junction prediction tasks, addressing inconsistencies found in previous methods. Co-PLNet utilizes a Point-Line Prompt Encoder to convert early detections into spatial prompts and a Cross-Guidance Line Decoder for refinement, demonstrating improved performance on benchmark datasets. AI

RANK_REASON The cluster contains an academic paper detailing a new technical framework for a computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]

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• CGL-Decoder
• Co-PLNet
• Cross-Guidance Line Decoder
• PLP-Encoder
• Point-Line Prompt Encoder
• Wireframe
• YorkUrban
• Yuqi Ouyang

• paper
• other

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