{"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/intrinsic3d-high-quality-3d-reconstruction-by","title":"Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting","arxiv_id":"1708.01670","date":"2017-08-04","proceeding":"ICCV 2017 10","authors":["Robert Maier","Kihwan Kim","Daniel Cremers","Jan Kautz","Matthias Nießner"],"abstract":"We introduce a novel method to obtain high-quality 3D reconstructions from\nconsumer RGB-D sensors. Our core idea is to simultaneously optimize for\ngeometry encoded in a signed distance field (SDF), textures from\nautomatically-selected keyframes, and their camera poses along with material\nand scene lighting. To this end, we propose a joint surface reconstruction\napproach that is based on Shape-from-Shading (SfS) techniques and utilizes the\nestimation of spatially-varying spherical harmonics (SVSH) from subvolumes of\nthe reconstructed scene. Through extensive examples and evaluations, we\ndemonstrate that our method dramatically increases the level of detail in the\nreconstructed scene geometry and contributes highly to consistent surface\ntexture recovery.","url_abs":"http://arxiv.org/abs/1708.01670v1","url_pdf":"http://arxiv.org/pdf/1708.01670v1.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":"intrinsic3d-high-quality-3d-reconstruction-by","repo_url":"https://github.com/NVlabs/intrinsic3d","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"3d-reconstruction","task_name":"3D Reconstruction"},{"task_slug":"surface-reconstruction","task_name":"Surface Reconstruction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1708.01670","atlas_url":"https://app.syntology.ai/?focus=1708.01670","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}