{"url":"/method/manifoldplus","slug":"manifoldplus","name":"ManifoldPlus","full_name":"ManifoldPlus","full_name_withheld":false,"description_markdown":"**ManifoldPlus** is a method for robust and scalable conversion of triangle soups to watertight manifolds. It extracts exterior faces between occupied voxels and empty voxels, and uses a projection based optimization method to accurately recover a watertight manifold that resembles the reference mesh. It does not rely on face normals of the input triangle soups and can accurately recover zero-volume structures. For scalability, it employs an adaptive Gauss-Seidel method for shape optimization, in which each step is an easy-to-solve convex problem.","description_state":"present","introduced_year":null,"introduced_by":{"title":"ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups","paper":"/paper/manifoldplus-a-robust-and-scalable-watertight","first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/manifoldplus-a-robust-and-scalable-watertight"},"source":{"url":"http://arxiv.org/abs/2005.11621v1","title":"ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Graphics Models","url":"/methods/category/graphics-models","pwc_aliases":[]}],"n_papers_tagged":0,"archive_num_papers":1,"papers_newest_first":[],"papers_shown":0,"tasks":[],"tasks_shown":0,"n_tasks":0,"usage_by_year":[],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/manifoldplus"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}