{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:HJKCLOGWWMTR53ID4V6WGKYQGD","short_pith_number":"pith:HJKCLOGW","schema_version":"1.0","canonical_sha256":"3a5425b8d6b3271eed03e57d632b1030c6dedf5d345bc6a66455a729161a73f4","source":{"kind":"arxiv","id":"2503.21886","version":1},"attestation_state":"computed","paper":{"title":"Refined Geometry-guided Head Avatar Reconstruction from Monocular RGB Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.GR","authors_text":"Michel Sarkis, Ning Bi, Pilseo Park, Xiaoming Liu, Yiying Tong, Ze Zhang","submitted_at":"2025-03-27T18:02:41Z","abstract_excerpt":"High-fidelity reconstruction of head avatars from monocular videos is highly desirable for virtual human applications, but it remains a challenge in the fields of computer graphics and computer vision. In this paper, we propose a two-phase head avatar reconstruction network that incorporates a refined 3D mesh representation. Our approach, in contrast to existing methods that rely on coarse template-based 3D representations derived from 3DMM, aims to learn a refined mesh representation suitable for a NeRF that captures complex facial nuances. In the first phase, we train 3DMM-stored NeRF with a"},"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":"2503.21886","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-03-27T18:02:41Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"f4884e64c0d2347e27d98f031bbb35fe6952bca9a54c4480c83e23a601d6f688","abstract_canon_sha256":"ff491a82080b59e72ce59a2dc4f4c8a24f9cf0db047223d57b460c0f350f647a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:43.835099Z","signature_b64":"nKMjsxpGXf7vSVxFKYYWMwT2YsT0KWKtMRaCpfRO0QaYVvJrGV1Jwem2EayvShgvmwGHA54iRJBmF0ds1sYuDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a5425b8d6b3271eed03e57d632b1030c6dedf5d345bc6a66455a729161a73f4","last_reissued_at":"2026-07-05T10:40:43.834622Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:43.834622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Refined Geometry-guided Head Avatar Reconstruction from Monocular RGB Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.GR","authors_text":"Michel Sarkis, Ning Bi, Pilseo Park, Xiaoming Liu, Yiying Tong, Ze Zhang","submitted_at":"2025-03-27T18:02:41Z","abstract_excerpt":"High-fidelity reconstruction of head avatars from monocular videos is highly desirable for virtual human applications, but it remains a challenge in the fields of computer graphics and computer vision. In this paper, we propose a two-phase head avatar reconstruction network that incorporates a refined 3D mesh representation. Our approach, in contrast to existing methods that rely on coarse template-based 3D representations derived from 3DMM, aims to learn a refined mesh representation suitable for a NeRF that captures complex facial nuances. In the first phase, we train 3DMM-stored NeRF with a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.21886","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.21886/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2503.21886","created_at":"2026-07-05T10:40:43.834682+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.21886v1","created_at":"2026-07-05T10:40:43.834682+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.21886","created_at":"2026-07-05T10:40:43.834682+00:00"},{"alias_kind":"pith_short_12","alias_value":"HJKCLOGWWMTR","created_at":"2026-07-05T10:40:43.834682+00:00"},{"alias_kind":"pith_short_16","alias_value":"HJKCLOGWWMTR53ID","created_at":"2026-07-05T10:40:43.834682+00:00"},{"alias_kind":"pith_short_8","alias_value":"HJKCLOGW","created_at":"2026-07-05T10:40:43.834682+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/HJKCLOGWWMTR53ID4V6WGKYQGD","json":"https://pith.science/pith/HJKCLOGWWMTR53ID4V6WGKYQGD.json","graph_json":"https://pith.science/api/pith-number/HJKCLOGWWMTR53ID4V6WGKYQGD/graph.json","events_json":"https://pith.science/api/pith-number/HJKCLOGWWMTR53ID4V6WGKYQGD/events.json","paper":"https://pith.science/paper/HJKCLOGW"},"agent_actions":{"view_html":"https://pith.science/pith/HJKCLOGWWMTR53ID4V6WGKYQGD","download_json":"https://pith.science/pith/HJKCLOGWWMTR53ID4V6WGKYQGD.json","view_paper":"https://pith.science/paper/HJKCLOGW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.21886&json=true","fetch_graph":"https://pith.science/api/pith-number/HJKCLOGWWMTR53ID4V6WGKYQGD/graph.json","fetch_events":"https://pith.science/api/pith-number/HJKCLOGWWMTR53ID4V6WGKYQGD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HJKCLOGWWMTR53ID4V6WGKYQGD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HJKCLOGWWMTR53ID4V6WGKYQGD/action/storage_attestation","attest_author":"https://pith.science/pith/HJKCLOGWWMTR53ID4V6WGKYQGD/action/author_attestation","sign_citation":"https://pith.science/pith/HJKCLOGWWMTR53ID4V6WGKYQGD/action/citation_signature","submit_replication":"https://pith.science/pith/HJKCLOGWWMTR53ID4V6WGKYQGD/action/replication_record"}},"created_at":"2026-07-05T10:40:43.834682+00:00","updated_at":"2026-07-05T10:40:43.834682+00:00"}