CVPR2024
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.