{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:RGHT4QI7EK7J654BENZ5DDPMD6","short_pith_number":"pith:RGHT4QI7","schema_version":"1.0","canonical_sha256":"898f3e411f22be9f77812373d18dec1fa8e3c9901631c02404197f8b18080540","source":{"kind":"arxiv","id":"1710.09490","version":2},"attestation_state":"computed","paper":{"title":"Complete 3D Scene Parsing from an RGBD Image","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuhang Zou, Derek Hoiem, Ruiqi Guo, Zhizhong Li","submitted_at":"2017-10-25T23:04:14Z","abstract_excerpt":"One major goal of vision is to infer physical models of objects, surfaces, and their layout from sensors. In this paper, we aim to interpret indoor scenes from one RGBD image. Our representation encodes the layout of orthogonal walls and the extent of objects, modeled with CAD-like 3D shapes. We parse both the visible and occluded portions of the scene and all observable objects, producing a complete 3D parse. Such a scene interpretation is useful for robotics and visual reasoning, but difficult to produce due to the well-known challenge of segmentation, the high degree of occlusion, and the d"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1710.09490","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-25T23:04:14Z","cross_cats_sorted":[],"title_canon_sha256":"18e11718d4a37b664db47d24b78e77641741ca1c9a6eaca07f03bfbb741be04c","abstract_canon_sha256":"9b20db8eee449216fea4bbf02dcd6e7d7d91cb1992f1e65d235fb557cfb4195e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:43.671225Z","signature_b64":"z4D4hItKOYJPmIUEtcsljr1JST4CyQ/TKMFMsQR72DJ5qqUmPslmhcaq6OisLaL2R78JPz+r5oro2IvzdVe2Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"898f3e411f22be9f77812373d18dec1fa8e3c9901631c02404197f8b18080540","last_reissued_at":"2026-05-18T00:00:43.670814Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:43.670814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Complete 3D Scene Parsing from an RGBD Image","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuhang Zou, Derek Hoiem, Ruiqi Guo, Zhizhong Li","submitted_at":"2017-10-25T23:04:14Z","abstract_excerpt":"One major goal of vision is to infer physical models of objects, surfaces, and their layout from sensors. In this paper, we aim to interpret indoor scenes from one RGBD image. Our representation encodes the layout of orthogonal walls and the extent of objects, modeled with CAD-like 3D shapes. We parse both the visible and occluded portions of the scene and all observable objects, producing a complete 3D parse. Such a scene interpretation is useful for robotics and visual reasoning, but difficult to produce due to the well-known challenge of segmentation, the high degree of occlusion, and the d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.09490","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1710.09490","created_at":"2026-05-18T00:00:43.670877+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.09490v2","created_at":"2026-05-18T00:00:43.670877+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.09490","created_at":"2026-05-18T00:00:43.670877+00:00"},{"alias_kind":"pith_short_12","alias_value":"RGHT4QI7EK7J","created_at":"2026-05-18T12:31:39.905425+00:00"},{"alias_kind":"pith_short_16","alias_value":"RGHT4QI7EK7J654B","created_at":"2026-05-18T12:31:39.905425+00:00"},{"alias_kind":"pith_short_8","alias_value":"RGHT4QI7","created_at":"2026-05-18T12:31:39.905425+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6","json":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6.json","graph_json":"https://pith.science/api/pith-number/RGHT4QI7EK7J654BENZ5DDPMD6/graph.json","events_json":"https://pith.science/api/pith-number/RGHT4QI7EK7J654BENZ5DDPMD6/events.json","paper":"https://pith.science/paper/RGHT4QI7"},"agent_actions":{"view_html":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6","download_json":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6.json","view_paper":"https://pith.science/paper/RGHT4QI7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.09490&json=true","fetch_graph":"https://pith.science/api/pith-number/RGHT4QI7EK7J654BENZ5DDPMD6/graph.json","fetch_events":"https://pith.science/api/pith-number/RGHT4QI7EK7J654BENZ5DDPMD6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6/action/storage_attestation","attest_author":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6/action/author_attestation","sign_citation":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6/action/citation_signature","submit_replication":"https://pith.science/pith/RGHT4QI7EK7J654BENZ5DDPMD6/action/replication_record"}},"created_at":"2026-05-18T00:00:43.670877+00:00","updated_at":"2026-05-18T00:00:43.670877+00:00"}