{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:NUPW6IPXXIGG37BNUFYO7ORL67","short_pith_number":"pith:NUPW6IPX","schema_version":"1.0","canonical_sha256":"6d1f6f21f7ba0c6dfc2da170efba2bf7c414a98963a069cd3a1ce87d7a16b051","source":{"kind":"arxiv","id":"2312.04651","version":1},"attestation_state":"computed","paper":{"title":"VOODOO 3D: Volumetric Portrait Disentanglement for One-Shot 3D Head Reenactment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anh Tuan Tran, Egor Zakharov, Hao Li, Liwen Hu, Long-Nhat Ho, Phong Tran","submitted_at":"2023-12-07T19:19:57Z","abstract_excerpt":"We present a 3D-aware one-shot head reenactment method based on a fully volumetric neural disentanglement framework for source appearance and driver expressions. Our method is real-time and produces high-fidelity and view-consistent output, suitable for 3D teleconferencing systems based on holographic displays. Existing cutting-edge 3D-aware reenactment methods often use neural radiance fields or 3D meshes to produce view-consistent appearance encoding, but, at the same time, they rely on linear face models, such as 3DMM, to achieve its disentanglement with facial expressions. As a result, the"},"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":"2312.04651","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T19:19:57Z","cross_cats_sorted":[],"title_canon_sha256":"6c142ee42d4c1d604c9cd6fa23a29b50b52c597dd450c94dfd0ef38d54310b6b","abstract_canon_sha256":"ddf91f9851735ac36ca0c846d0e7cc7589ef252d783f38bdd0be13afb2bf5266"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:21:49.199185Z","signature_b64":"855Ldy2Y4GxypF1QIn+H/l4uhiyc9Og+UCXpFbuZI5a21eIv2LNgVYJAR+7ZQy2xJNAzhE3QKeHe1gCnrIXXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d1f6f21f7ba0c6dfc2da170efba2bf7c414a98963a069cd3a1ce87d7a16b051","last_reissued_at":"2026-07-05T07:21:49.198685Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:21:49.198685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VOODOO 3D: Volumetric Portrait Disentanglement for One-Shot 3D Head Reenactment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anh Tuan Tran, Egor Zakharov, Hao Li, Liwen Hu, Long-Nhat Ho, Phong Tran","submitted_at":"2023-12-07T19:19:57Z","abstract_excerpt":"We present a 3D-aware one-shot head reenactment method based on a fully volumetric neural disentanglement framework for source appearance and driver expressions. Our method is real-time and produces high-fidelity and view-consistent output, suitable for 3D teleconferencing systems based on holographic displays. Existing cutting-edge 3D-aware reenactment methods often use neural radiance fields or 3D meshes to produce view-consistent appearance encoding, but, at the same time, they rely on linear face models, such as 3DMM, to achieve its disentanglement with facial expressions. As a result, the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.04651","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/2312.04651/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":"2312.04651","created_at":"2026-07-05T07:21:49.198748+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.04651v1","created_at":"2026-07-05T07:21:49.198748+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.04651","created_at":"2026-07-05T07:21:49.198748+00:00"},{"alias_kind":"pith_short_12","alias_value":"NUPW6IPXXIGG","created_at":"2026-07-05T07:21:49.198748+00:00"},{"alias_kind":"pith_short_16","alias_value":"NUPW6IPXXIGG37BN","created_at":"2026-07-05T07:21:49.198748+00:00"},{"alias_kind":"pith_short_8","alias_value":"NUPW6IPX","created_at":"2026-07-05T07:21:49.198748+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/NUPW6IPXXIGG37BNUFYO7ORL67","json":"https://pith.science/pith/NUPW6IPXXIGG37BNUFYO7ORL67.json","graph_json":"https://pith.science/api/pith-number/NUPW6IPXXIGG37BNUFYO7ORL67/graph.json","events_json":"https://pith.science/api/pith-number/NUPW6IPXXIGG37BNUFYO7ORL67/events.json","paper":"https://pith.science/paper/NUPW6IPX"},"agent_actions":{"view_html":"https://pith.science/pith/NUPW6IPXXIGG37BNUFYO7ORL67","download_json":"https://pith.science/pith/NUPW6IPXXIGG37BNUFYO7ORL67.json","view_paper":"https://pith.science/paper/NUPW6IPX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.04651&json=true","fetch_graph":"https://pith.science/api/pith-number/NUPW6IPXXIGG37BNUFYO7ORL67/graph.json","fetch_events":"https://pith.science/api/pith-number/NUPW6IPXXIGG37BNUFYO7ORL67/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NUPW6IPXXIGG37BNUFYO7ORL67/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NUPW6IPXXIGG37BNUFYO7ORL67/action/storage_attestation","attest_author":"https://pith.science/pith/NUPW6IPXXIGG37BNUFYO7ORL67/action/author_attestation","sign_citation":"https://pith.science/pith/NUPW6IPXXIGG37BNUFYO7ORL67/action/citation_signature","submit_replication":"https://pith.science/pith/NUPW6IPXXIGG37BNUFYO7ORL67/action/replication_record"}},"created_at":"2026-07-05T07:21:49.198748+00:00","updated_at":"2026-07-05T07:21:49.198748+00:00"}