{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:LSGUQW335F3VSK4CZG4AIJU7HP","short_pith_number":"pith:LSGUQW33","schema_version":"1.0","canonical_sha256":"5c8d485b7be977592b82c9b804269f3bc7f992f66cd846be38d9e9fe651215dc","source":{"kind":"arxiv","id":"2206.08585","version":1},"attestation_state":"computed","paper":{"title":"HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaeyeon Chung, Gyojung Gu, Hyelin Nam, Jaegul Choo, Seunghwan Choi, Sunghyun Park, Taewoo Kim","submitted_at":"2022-06-17T06:55:20Z","abstract_excerpt":"Hairstyle transfer is the task of modifying a source hairstyle to a target one. Although recent hairstyle transfer models can reflect the delicate features of hairstyles, they still have two major limitations. First, the existing methods fail to transfer hairstyles when a source and a target image have different poses (e.g., viewing direction or face size), which is prevalent in the real world. Also, the previous models generate unrealistic images when there is a non-trivial amount of regions in the source image occluded by its original hair. When modifying long hair to short hair, shoulders o"},"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":"2206.08585","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-17T06:55:20Z","cross_cats_sorted":[],"title_canon_sha256":"bff16a94b657fc445c6f1ef5e39e15eef0741f6055aed97f09f3780536e63773","abstract_canon_sha256":"9afd48dced01419bba3ed0a3ef30f781ffef529e127992265f6b449b688a1d2f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:32:31.563019Z","signature_b64":"uLfDNhFHNxcrGnYRgsLlem/evGgLbyGZvGym/TZGPAjkplQzx8Ycwgjla+V3MwxmMs4npBLwoLPJC98UTEuXBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c8d485b7be977592b82c9b804269f3bc7f992f66cd846be38d9e9fe651215dc","last_reissued_at":"2026-07-05T04:32:31.562570Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:32:31.562570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaeyeon Chung, Gyojung Gu, Hyelin Nam, Jaegul Choo, Seunghwan Choi, Sunghyun Park, Taewoo Kim","submitted_at":"2022-06-17T06:55:20Z","abstract_excerpt":"Hairstyle transfer is the task of modifying a source hairstyle to a target one. Although recent hairstyle transfer models can reflect the delicate features of hairstyles, they still have two major limitations. First, the existing methods fail to transfer hairstyles when a source and a target image have different poses (e.g., viewing direction or face size), which is prevalent in the real world. Also, the previous models generate unrealistic images when there is a non-trivial amount of regions in the source image occluded by its original hair. When modifying long hair to short hair, shoulders o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.08585","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/2206.08585/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":"2206.08585","created_at":"2026-07-05T04:32:31.562629+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.08585v1","created_at":"2026-07-05T04:32:31.562629+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.08585","created_at":"2026-07-05T04:32:31.562629+00:00"},{"alias_kind":"pith_short_12","alias_value":"LSGUQW335F3V","created_at":"2026-07-05T04:32:31.562629+00:00"},{"alias_kind":"pith_short_16","alias_value":"LSGUQW335F3VSK4C","created_at":"2026-07-05T04:32:31.562629+00:00"},{"alias_kind":"pith_short_8","alias_value":"LSGUQW33","created_at":"2026-07-05T04:32:31.562629+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.25578","citing_title":"H-Adapter: Pose-Robust Hairstyle Transfer via Attention-Derived, Source-Aligned Hair Masks","ref_index":4,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP","json":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP.json","graph_json":"https://pith.science/api/pith-number/LSGUQW335F3VSK4CZG4AIJU7HP/graph.json","events_json":"https://pith.science/api/pith-number/LSGUQW335F3VSK4CZG4AIJU7HP/events.json","paper":"https://pith.science/paper/LSGUQW33"},"agent_actions":{"view_html":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP","download_json":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP.json","view_paper":"https://pith.science/paper/LSGUQW33","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.08585&json=true","fetch_graph":"https://pith.science/api/pith-number/LSGUQW335F3VSK4CZG4AIJU7HP/graph.json","fetch_events":"https://pith.science/api/pith-number/LSGUQW335F3VSK4CZG4AIJU7HP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP/action/storage_attestation","attest_author":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP/action/author_attestation","sign_citation":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP/action/citation_signature","submit_replication":"https://pith.science/pith/LSGUQW335F3VSK4CZG4AIJU7HP/action/replication_record"}},"created_at":"2026-07-05T04:32:31.562629+00:00","updated_at":"2026-07-05T04:32:31.562629+00:00"}