{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:WGQNERNSMGQWNK2U2GOL4JTBML","short_pith_number":"pith:WGQNERNS","schema_version":"1.0","canonical_sha256":"b1a0d245b261a166ab54d19cbe266162dca5575590d437f1c73c406ad5386ec7","source":{"kind":"arxiv","id":"2507.19481","version":1},"attestation_state":"computed","paper":{"title":"HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatars","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Byungjun Kim, Giljoo Nam, Hanbyul Joo, Jason Saragih, Junxuan Li, Shunsuke Saito, Tomas Simon","submitted_at":"2025-07-25T17:59:53Z","abstract_excerpt":"We present a universal prior model for 3D head avatars with explicit hair compositionality. Existing approaches to build generalizable priors for 3D head avatars often adopt a holistic modeling approach, treating the face and hair as an inseparable entity. This overlooks the inherent compositionality of the human head, making it difficult for the model to naturally disentangle face and hair representations, especially when the dataset is limited. Furthermore, such holistic models struggle to support applications like 3D face and hairstyle swapping in a flexible and controllable manner. To addr"},"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":"2507.19481","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T17:59:53Z","cross_cats_sorted":[],"title_canon_sha256":"8fed3e98d9077d3f499be030eb3a35644c8b53afa6fed089e07b25d4c1afdd4f","abstract_canon_sha256":"4568c8ee4f913d083e67f275d61c4326cb4df698b7eeb63102418017dbdbc1ef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:26.175813Z","signature_b64":"xoKm26FaRxw9lB1CFBWFcSkwqNoycBpS3y0PKesBXBMyAIUr9cioGBafqfQaI7L9pWEs5RdO4qaoT7Qhj9TZBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1a0d245b261a166ab54d19cbe266162dca5575590d437f1c73c406ad5386ec7","last_reissued_at":"2026-07-05T11:43:26.175299Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:26.175299Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatars","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Byungjun Kim, Giljoo Nam, Hanbyul Joo, Jason Saragih, Junxuan Li, Shunsuke Saito, Tomas Simon","submitted_at":"2025-07-25T17:59:53Z","abstract_excerpt":"We present a universal prior model for 3D head avatars with explicit hair compositionality. Existing approaches to build generalizable priors for 3D head avatars often adopt a holistic modeling approach, treating the face and hair as an inseparable entity. This overlooks the inherent compositionality of the human head, making it difficult for the model to naturally disentangle face and hair representations, especially when the dataset is limited. Furthermore, such holistic models struggle to support applications like 3D face and hairstyle swapping in a flexible and controllable manner. To addr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19481","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/2507.19481/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":"2507.19481","created_at":"2026-07-05T11:43:26.175369+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.19481v1","created_at":"2026-07-05T11:43:26.175369+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19481","created_at":"2026-07-05T11:43:26.175369+00:00"},{"alias_kind":"pith_short_12","alias_value":"WGQNERNSMGQW","created_at":"2026-07-05T11:43:26.175369+00:00"},{"alias_kind":"pith_short_16","alias_value":"WGQNERNSMGQWNK2U","created_at":"2026-07-05T11:43:26.175369+00:00"},{"alias_kind":"pith_short_8","alias_value":"WGQNERNS","created_at":"2026-07-05T11:43:26.175369+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2509.04434","citing_title":"Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfer","ref_index":8,"is_internal_anchor":false},{"citing_arxiv_id":"2604.06467","citing_title":"PhysHead: Simulation-Ready Gaussian Head Avatars","ref_index":31,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML","json":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML.json","graph_json":"https://pith.science/api/pith-number/WGQNERNSMGQWNK2U2GOL4JTBML/graph.json","events_json":"https://pith.science/api/pith-number/WGQNERNSMGQWNK2U2GOL4JTBML/events.json","paper":"https://pith.science/paper/WGQNERNS"},"agent_actions":{"view_html":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML","download_json":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML.json","view_paper":"https://pith.science/paper/WGQNERNS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.19481&json=true","fetch_graph":"https://pith.science/api/pith-number/WGQNERNSMGQWNK2U2GOL4JTBML/graph.json","fetch_events":"https://pith.science/api/pith-number/WGQNERNSMGQWNK2U2GOL4JTBML/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML/action/storage_attestation","attest_author":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML/action/author_attestation","sign_citation":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML/action/citation_signature","submit_replication":"https://pith.science/pith/WGQNERNSMGQWNK2U2GOL4JTBML/action/replication_record"}},"created_at":"2026-07-05T11:43:26.175369+00:00","updated_at":"2026-07-05T11:43:26.175369+00:00"}