{"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/shape-anchor-guided-holistic-indoor-scene","title":"Shape Anchor Guided Holistic Indoor Scene Understanding","arxiv_id":"2309.11133","date":"2023-09-20","proceeding":"ICCV 2023 1","authors":["Mingyue Dong","Linxi Huan","Hanjiang Xiong","Shuhan Shen","Xianwei Zheng"],"abstract":"This paper proposes a shape anchor guided learning strategy (AncLearn) for robust holistic indoor scene understanding. We observe that the search space constructed by current methods for proposal feature grouping and instance point sampling often introduces massive noise to instance detection and mesh reconstruction. Accordingly, we develop AncLearn to generate anchors that dynamically fit instance surfaces to (i) unmix noise and target-related features for offering reliable proposals at the detection stage, and (ii) reduce outliers in object point sampling for directly providing well-structured geometry priors without segmentation during reconstruction. We embed AncLearn into a reconstruction-from-detection learning system (AncRec) to generate high-quality semantic scene models in a purely instance-oriented manner. Experiments conducted on the challenging ScanNetv2 dataset demonstrate that our shape anchor-based method consistently achieves state-of-the-art performance in terms of 3D object detection, layout estimation, and shape reconstruction. The code will be available at https://github.com/Geo-Tell/AncRec.","url_abs":"https://arxiv.org/abs/2309.11133v1","url_pdf":"https://arxiv.org/pdf/2309.11133v1.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":"shape-anchor-guided-holistic-indoor-scene","repo_url":"https://github.com/Geo-Tell/AncRec","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"3d-object-detection","task_name":"3D Object Detection"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"scene-understanding","task_name":"Scene Understanding"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2309.11133","atlas_url":"https://app.syntology.ai/?focus=2309.11133","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.11133"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+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. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/Geo-Tell/AncRec","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran":8,"unverified":1},"by_repo_kind":{"official":{"samples":9,"ran":8,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"11e5e011aeac9da2","entry":"compute_vote_loss","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"models/loss.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/models/loss.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"11e5e011aeac9da2"}},{"code_sha256_prefix":"7c5097f4707309ec","entry":"find_optim_module","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"models/optimizers.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/models/optimizers.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"7c5097f4707309ec"}},{"code_sha256_prefix":"6456fb43944fedf5","entry":"has_optim_in_children","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"models/optimizers.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/models/optimizers.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"6456fb43944fedf5"}},{"code_sha256_prefix":"0d807bf7c45ad256","entry":"load_scheduler","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"models/optimizers.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/models/optimizers.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0d807bf7c45ad256"}},{"code_sha256_prefix":"5cb3a2a5aec87feb","entry":"multi_getattr","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"models/network.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/models/network.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"5cb3a2a5aec87feb"}},{"code_sha256_prefix":"63b3b5b543cfe36f","entry":"multi_hasattr","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"models/network.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/models/network.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"63b3b5b543cfe36f"}},{"code_sha256_prefix":"7457a44fbe4c2d1d","entry":"rotate_aligned_boxes","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"configs/scannet_config.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/configs/scannet_config.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"7457a44fbe4c2d1d"}},{"code_sha256_prefix":"9e0c50b6f1b79889","entry":"soft_cross_entropy","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"models/loss.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/models/loss.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9e0c50b6f1b79889"}},{"code_sha256_prefix":"0bc49e9f2557ef73","entry":"SoftCrossEntropyLoss","repo":"Geo-Tell/AncRec","repo_kind":"official","path":"models/loss.py","file_url":"https://github.com/Geo-Tell/AncRec/blob/HEAD/models/loss.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0bc49e9f2557ef73"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}