NEAT: Distilling 3D Wireframes from Neural Attraction Fields
Nan Xue, Bin Tan, Yuxi Xiao, Liang Dong, Gui-Song Xia, Tianfu Wu, Yujun Shen
Abstract
Figure 1 . Showcasing the evolution of 3D wireframe reconstruction: The top reveals the transformative steps from a straight-line dominated urban landscape to an abstract wireframe, contrasting various methodologies. Below, the intricate transition from a curve-rich stuffed animal to its skeletal representation is depicted. While Line3D++ [12] and LiMAP [17] utilize line-matching techniques, our novel NEAT approach forgoes matching, resulting in superior reconstruction fidelity with our proposed rendering-distilling formulation.
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Install the CLIlune papers fulltext 699855b9-2bcc-4b75-9004-8d75f11be351Cited by top-tier papers8
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