{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:2YU4BTSE4Q5YKZM2COS7WJGBI2","short_pith_number":"pith:2YU4BTSE","schema_version":"1.0","canonical_sha256":"d629c0ce44e43b85659a13a5fb24c146a0171cc33621f88a5c7baafec63ab421","source":{"kind":"arxiv","id":"1901.00063","version":2},"attestation_state":"computed","paper":{"title":"Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jeffrey Z.Pan, Kristen Grauman, Linjie Luo, Qixing Huang, Xiaowei Zhou, Zhenpei Yang","submitted_at":"2018-12-31T23:43:16Z","abstract_excerpt":"Estimating the relative rigid pose between two RGB-D scans of the same underlying environment is a fundamental problem in computer vision, robotics, and computer graphics. Most existing approaches allow only limited maximum relative pose changes since they require considerable overlap between the input scans. We introduce a novel deep neural network that extends the scope to extreme relative poses, with little or even no overlap between the input scans. The key idea is to infer more complete scene information about the underlying environment and match on the completed scans. In particular, ins"},"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":"1901.00063","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-31T23:43:16Z","cross_cats_sorted":[],"title_canon_sha256":"e6608710086db6ca59b83937414a3913705b67757e422619c1e43049d2488db0","abstract_canon_sha256":"b5eafb7027540314181fed6274955e433b6066b30853b00e6e1de539d2649bec"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:52.413988Z","signature_b64":"ucZAC9BiQ+qRHYA1Cq2IxsdmlaIYmsM/jkRcn4aOvAq1ODC5xJ7tUOuTe64QCIfUefzgrX3X1PiQEbt3ggUHCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d629c0ce44e43b85659a13a5fb24c146a0171cc33621f88a5c7baafec63ab421","last_reissued_at":"2026-05-17T23:56:52.413621Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:52.413621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jeffrey Z.Pan, Kristen Grauman, Linjie Luo, Qixing Huang, Xiaowei Zhou, Zhenpei Yang","submitted_at":"2018-12-31T23:43:16Z","abstract_excerpt":"Estimating the relative rigid pose between two RGB-D scans of the same underlying environment is a fundamental problem in computer vision, robotics, and computer graphics. Most existing approaches allow only limited maximum relative pose changes since they require considerable overlap between the input scans. We introduce a novel deep neural network that extends the scope to extreme relative poses, with little or even no overlap between the input scans. The key idea is to infer more complete scene information about the underlying environment and match on the completed scans. In particular, ins"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.00063","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":"1901.00063","created_at":"2026-05-17T23:56:52.413680+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.00063v2","created_at":"2026-05-17T23:56:52.413680+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.00063","created_at":"2026-05-17T23:56:52.413680+00:00"},{"alias_kind":"pith_short_12","alias_value":"2YU4BTSE4Q5Y","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_16","alias_value":"2YU4BTSE4Q5YKZM2","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_8","alias_value":"2YU4BTSE","created_at":"2026-05-18T12:32:02.567920+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/2YU4BTSE4Q5YKZM2COS7WJGBI2","json":"https://pith.science/pith/2YU4BTSE4Q5YKZM2COS7WJGBI2.json","graph_json":"https://pith.science/api/pith-number/2YU4BTSE4Q5YKZM2COS7WJGBI2/graph.json","events_json":"https://pith.science/api/pith-number/2YU4BTSE4Q5YKZM2COS7WJGBI2/events.json","paper":"https://pith.science/paper/2YU4BTSE"},"agent_actions":{"view_html":"https://pith.science/pith/2YU4BTSE4Q5YKZM2COS7WJGBI2","download_json":"https://pith.science/pith/2YU4BTSE4Q5YKZM2COS7WJGBI2.json","view_paper":"https://pith.science/paper/2YU4BTSE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.00063&json=true","fetch_graph":"https://pith.science/api/pith-number/2YU4BTSE4Q5YKZM2COS7WJGBI2/graph.json","fetch_events":"https://pith.science/api/pith-number/2YU4BTSE4Q5YKZM2COS7WJGBI2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2YU4BTSE4Q5YKZM2COS7WJGBI2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2YU4BTSE4Q5YKZM2COS7WJGBI2/action/storage_attestation","attest_author":"https://pith.science/pith/2YU4BTSE4Q5YKZM2COS7WJGBI2/action/author_attestation","sign_citation":"https://pith.science/pith/2YU4BTSE4Q5YKZM2COS7WJGBI2/action/citation_signature","submit_replication":"https://pith.science/pith/2YU4BTSE4Q5YKZM2COS7WJGBI2/action/replication_record"}},"created_at":"2026-05-17T23:56:52.413680+00:00","updated_at":"2026-05-17T23:56:52.413680+00:00"}