{"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/recurrent-mvsnet-for-high-resolution-multi","title":"Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference","arxiv_id":"1902.10556","date":"2019-02-27","proceeding":"CVPR 2019 6","authors":["Yao Yao","Zixin Luo","Shiwei Li","Tianwei Shen","Tian Fang","Long Quan"],"abstract":"Deep learning has recently demonstrated its excellent performance for\nmulti-view stereo (MVS). However, one major limitation of current learned MVS\napproaches is the scalability: the memory-consuming cost volume regularization\nmakes the learned MVS hard to be applied to high-resolution scenes. In this\npaper, we introduce a scalable multi-view stereo framework based on the\nrecurrent neural network. Instead of regularizing the entire 3D cost volume in\none go, the proposed Recurrent Multi-view Stereo Network (R-MVSNet)\nsequentially regularizes the 2D cost maps along the depth direction via the\ngated recurrent unit (GRU). This reduces dramatically the memory consumption\nand makes high-resolution reconstruction feasible. We first show the\nstate-of-the-art performance achieved by the proposed R-MVSNet on the recent\nMVS benchmarks. Then, we further demonstrate the scalability of the proposed\nmethod on several large-scale scenarios, where previous learned approaches\noften fail due to the memory constraint. Code is available at\nhttps://github.com/YoYo000/MVSNet.","url_abs":"http://arxiv.org/abs/1902.10556v1","url_pdf":"http://arxiv.org/pdf/1902.10556v1.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":[{"paper_slug":"recurrent-mvsnet-for-high-resolution-multi","repo_url":"https://github.com/YoYo000/MVSNet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"high","task_name":"Vocal Bursts Intensity Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1902.10556","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1902.10556"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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