Lune

CVPR2023Top-tier venue

NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-View Images

Yunfan Ye, Renjiao Yi, Zhirui Gao, Chenyang Zhu, Zhiping Cai, Kai Xu

2023Year
16Top-tier citations

Abstract

Ground Truth Parametric Curves 3D Edge Points … 2D Edge Detection Neural Edge Fields … Figure 1. We leverage 2D edge detection to directly acquire 3D edge points by learning a neural implicit field and further reconstructing 3D parametric curves that represent the geometrical shape of the object. We introduce the details about extracting 3D edges from the proposed Neural Edge Field in 3.1, and the coarse-to-fine optimization strategy to reconstruct parametric curves in 3.2. The whole pipeline is self-supervised with only 2D supervision.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext a9553940-dc40-4d3b-a944-d9ae36b58336

Cited by top-tier papers16

Ask how each one uses it

Builds on17

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines