{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/view-guided-point-cloud-completion","title":"View-Guided Point Cloud Completion","arxiv_id":"2104.05666","date":"2021-04-12","proceeding":"CVPR 2021 1","authors":["Xuancheng Zhang","Yutong Feng","Siqi Li","Changqing Zou","Hai Wan","Xibin Zhao","Yandong Guo","Yue Gao"],"abstract":"This paper presents a view-guided solution for the task of point cloud completion. Unlike most existing methods directly inferring the missing points using shape priors, we address this task by introducing ViPC (view-guided point cloud completion) that takes the missing crucial global structure information from an extra single-view image. By leveraging a framework that sequentially performs effective cross-modality and cross-level fusions, our method achieves significantly superior results over typical existing solutions on a new large-scale dataset we collect for the view-guided point cloud completion task.","url_abs":"https://arxiv.org/abs/2104.05666v2","url_pdf":"https://arxiv.org/pdf/2104.05666v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"point-cloud-completion","task_name":"Point Cloud Completion"}],"methods":[],"datasets_introduced":[{"slug":"shapenet-vipc","name":"ShapeNet-ViPC","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/point-cloud-completion-on-shapenet-vipc","task":"Point Cloud Completion","dataset":"ShapeNet-ViPC","model":"ViPC","rank_in_archive_order":3,"of":3,"metrics":{"Chamfer Distance":"3.308"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2104.05666","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}