{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:VJ6K2U5YJTM6SQ2UIULAAUAF74","short_pith_number":"pith:VJ6K2U5Y","schema_version":"1.0","canonical_sha256":"aa7cad53b84cd9e943544516005005ff02ac1084985c47cd0288ff269a41cf98","source":{"kind":"arxiv","id":"1906.04201","version":1},"attestation_state":"computed","paper":{"title":"End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Angela Dai, Armen Avetisyan, Matthias Nie{\\ss}ner","submitted_at":"2019-06-10T18:01:42Z","abstract_excerpt":"We present a novel, end-to-end approach to align CAD models to an 3D scan of a scene, enabling transformation of a noisy, incomplete 3D scan to a compact, CAD reconstruction with clean, complete object geometry. Our main contribution lies in formulating a differentiable Procrustes alignment that is paired with a symmetry-aware dense object correspondence prediction. To simultaneously align CAD models to all the objects of a scanned scene, our approach detects object locations, then predicts symmetry-aware dense object correspondences between scan and CAD geometry in a unified object space, as "},"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":"1906.04201","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T18:01:42Z","cross_cats_sorted":[],"title_canon_sha256":"8a26f2431bf201ec7dd45e8a0f29e92da0c1f7d2f509ec77992d0977820f1632","abstract_canon_sha256":"c706ada86f3ca7fb5473d8164e75f820d7df1f463798cac0b7d7f1c12a8def84"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:42.006478Z","signature_b64":"EnpvKrZY88pW/EWe37ALmuccPZfnmm9xHnQVzYkP028jisW14TplWCtxs3tsooBXMl+iGZfd8SejXeNtNem7Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa7cad53b84cd9e943544516005005ff02ac1084985c47cd0288ff269a41cf98","last_reissued_at":"2026-05-17T23:43:42.005907Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:42.005907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Angela Dai, Armen Avetisyan, Matthias Nie{\\ss}ner","submitted_at":"2019-06-10T18:01:42Z","abstract_excerpt":"We present a novel, end-to-end approach to align CAD models to an 3D scan of a scene, enabling transformation of a noisy, incomplete 3D scan to a compact, CAD reconstruction with clean, complete object geometry. Our main contribution lies in formulating a differentiable Procrustes alignment that is paired with a symmetry-aware dense object correspondence prediction. To simultaneously align CAD models to all the objects of a scanned scene, our approach detects object locations, then predicts symmetry-aware dense object correspondences between scan and CAD geometry in a unified object space, as "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.04201","kind":"arxiv","version":1},"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":"1906.04201","created_at":"2026-05-17T23:43:42.006012+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.04201v1","created_at":"2026-05-17T23:43:42.006012+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.04201","created_at":"2026-05-17T23:43:42.006012+00:00"},{"alias_kind":"pith_short_12","alias_value":"VJ6K2U5YJTM6","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"VJ6K2U5YJTM6SQ2U","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"VJ6K2U5Y","created_at":"2026-05-18T12:33:30.264802+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/VJ6K2U5YJTM6SQ2UIULAAUAF74","json":"https://pith.science/pith/VJ6K2U5YJTM6SQ2UIULAAUAF74.json","graph_json":"https://pith.science/api/pith-number/VJ6K2U5YJTM6SQ2UIULAAUAF74/graph.json","events_json":"https://pith.science/api/pith-number/VJ6K2U5YJTM6SQ2UIULAAUAF74/events.json","paper":"https://pith.science/paper/VJ6K2U5Y"},"agent_actions":{"view_html":"https://pith.science/pith/VJ6K2U5YJTM6SQ2UIULAAUAF74","download_json":"https://pith.science/pith/VJ6K2U5YJTM6SQ2UIULAAUAF74.json","view_paper":"https://pith.science/paper/VJ6K2U5Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.04201&json=true","fetch_graph":"https://pith.science/api/pith-number/VJ6K2U5YJTM6SQ2UIULAAUAF74/graph.json","fetch_events":"https://pith.science/api/pith-number/VJ6K2U5YJTM6SQ2UIULAAUAF74/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VJ6K2U5YJTM6SQ2UIULAAUAF74/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VJ6K2U5YJTM6SQ2UIULAAUAF74/action/storage_attestation","attest_author":"https://pith.science/pith/VJ6K2U5YJTM6SQ2UIULAAUAF74/action/author_attestation","sign_citation":"https://pith.science/pith/VJ6K2U5YJTM6SQ2UIULAAUAF74/action/citation_signature","submit_replication":"https://pith.science/pith/VJ6K2U5YJTM6SQ2UIULAAUAF74/action/replication_record"}},"created_at":"2026-05-17T23:43:42.006012+00:00","updated_at":"2026-05-17T23:43:42.006012+00:00"}