{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:E6FESTOTPBXIWUE23TIVHYLZ3L","short_pith_number":"pith:E6FESTOT","schema_version":"1.0","canonical_sha256":"278a494dd3786e8b509adcd153e179dafec95572c125169ae22939bbdcaebc86","source":{"kind":"arxiv","id":"2412.01160","version":4},"attestation_state":"computed","paper":{"title":"ControlFace: Harnessing Facial Parametric Control for Face Rigging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Geonho Cha, Seungryong Kim, Wooseok Jang, Youngjun Hong","submitted_at":"2024-12-02T06:00:27Z","abstract_excerpt":"Manipulation of facial images to meet specific controls such as pose, expression, and lighting, also known as face rigging, is a complex task in computer vision. Existing methods are limited by their reliance on image datasets, which necessitates individual-specific fine-tuning and limits their ability to retain fine-grained identity and semantic details, reducing practical usability. To overcome these limitations, we introduce ControlFace, a novel face rigging method conditioned on 3DMM renderings that enables flexible, high-fidelity control. We employ a dual-branch U-Nets: one, referred to 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":"2412.01160","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-02T06:00:27Z","cross_cats_sorted":[],"title_canon_sha256":"94f3928260a2ecda68090dfb205906b12129fc9c999cd396e49d1a4e7f35727e","abstract_canon_sha256":"7072e0004759af5719f8dbd48cd36f653cd1ad054cedcf75a5ae2636f8d45041"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:09:12.635104Z","signature_b64":"wta6UNPDotrucPPWYmBmQiqx9z9MbxOpSAVKHfSk44V9pMjpOP8THIscM5Heuyv1ZeHv/3CaR20gUzLfOBAoBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"278a494dd3786e8b509adcd153e179dafec95572c125169ae22939bbdcaebc86","last_reissued_at":"2026-07-05T10:09:12.634685Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:09:12.634685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ControlFace: Harnessing Facial Parametric Control for Face Rigging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Geonho Cha, Seungryong Kim, Wooseok Jang, Youngjun Hong","submitted_at":"2024-12-02T06:00:27Z","abstract_excerpt":"Manipulation of facial images to meet specific controls such as pose, expression, and lighting, also known as face rigging, is a complex task in computer vision. Existing methods are limited by their reliance on image datasets, which necessitates individual-specific fine-tuning and limits their ability to retain fine-grained identity and semantic details, reducing practical usability. To overcome these limitations, we introduce ControlFace, a novel face rigging method conditioned on 3DMM renderings that enables flexible, high-fidelity control. We employ a dual-branch U-Nets: one, referred to a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01160","kind":"arxiv","version":4},"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/2412.01160/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":"2412.01160","created_at":"2026-07-05T10:09:12.634738+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.01160v4","created_at":"2026-07-05T10:09:12.634738+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01160","created_at":"2026-07-05T10:09:12.634738+00:00"},{"alias_kind":"pith_short_12","alias_value":"E6FESTOTPBXI","created_at":"2026-07-05T10:09:12.634738+00:00"},{"alias_kind":"pith_short_16","alias_value":"E6FESTOTPBXIWUE2","created_at":"2026-07-05T10:09:12.634738+00:00"},{"alias_kind":"pith_short_8","alias_value":"E6FESTOT","created_at":"2026-07-05T10:09:12.634738+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/E6FESTOTPBXIWUE23TIVHYLZ3L","json":"https://pith.science/pith/E6FESTOTPBXIWUE23TIVHYLZ3L.json","graph_json":"https://pith.science/api/pith-number/E6FESTOTPBXIWUE23TIVHYLZ3L/graph.json","events_json":"https://pith.science/api/pith-number/E6FESTOTPBXIWUE23TIVHYLZ3L/events.json","paper":"https://pith.science/paper/E6FESTOT"},"agent_actions":{"view_html":"https://pith.science/pith/E6FESTOTPBXIWUE23TIVHYLZ3L","download_json":"https://pith.science/pith/E6FESTOTPBXIWUE23TIVHYLZ3L.json","view_paper":"https://pith.science/paper/E6FESTOT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.01160&json=true","fetch_graph":"https://pith.science/api/pith-number/E6FESTOTPBXIWUE23TIVHYLZ3L/graph.json","fetch_events":"https://pith.science/api/pith-number/E6FESTOTPBXIWUE23TIVHYLZ3L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E6FESTOTPBXIWUE23TIVHYLZ3L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E6FESTOTPBXIWUE23TIVHYLZ3L/action/storage_attestation","attest_author":"https://pith.science/pith/E6FESTOTPBXIWUE23TIVHYLZ3L/action/author_attestation","sign_citation":"https://pith.science/pith/E6FESTOTPBXIWUE23TIVHYLZ3L/action/citation_signature","submit_replication":"https://pith.science/pith/E6FESTOTPBXIWUE23TIVHYLZ3L/action/replication_record"}},"created_at":"2026-07-05T10:09:12.634738+00:00","updated_at":"2026-07-05T10:09:12.634738+00:00"}