NEAT: A Rendering-Distilling Approach for Efficient 3D Wireframe Reconstruction from Multi-View Images

This paper presents NEAT, a novel rendering-distilling formulation using neural fields to represent 3D line segments and junctions, enabling matching-free 3D wireframe reconstruction from multi-view images.