{"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/semantic-scene-completion-combining-colour","title":"Semantic Scene Completion Combining Colour and Depth: preliminary experiments","arxiv_id":"1802.04735","date":"2018-02-13","proceeding":null,"authors":["Andre Bernardes Soares Guedes","Teofilo Emidio de Campos","Adrian Hilton"],"abstract":"Semantic scene completion is the task of producing a complete 3D voxel\nrepresentation of volumetric occupancy with semantic labels for a scene from a\nsingle-view observation. We built upon the recent work of Song et al. (CVPR\n2017), who proposed SSCnet, a method that performs scene completion and\nsemantic labelling in a single end-to-end 3D convolutional network. SSCnet uses\nonly depth maps as input, even though depth maps are usually obtained from\ndevices that also capture colour information, such as RGBD sensors and stereo\ncameras. In this work, we investigate the potential of the RGB colour channels\nto improve SSCnet.","url_abs":"http://arxiv.org/abs/1802.04735v1","url_pdf":"http://arxiv.org/pdf/1802.04735v1.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":"3d-semantic-scene-completion","task_name":"3D Semantic Scene Completion"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/3d-semantic-scene-completion-on-nyuv2","task":"3D Semantic Scene Completion","dataset":"NYUv2","model":"Guedes et al.","rank_in_archive_order":24,"of":28,"metrics":{"mIoU":"27.5"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1802.04735","atlas_url":"https://app.syntology.ai/?focus=1802.04735","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}