{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:M5QM6KN6EUB3Y6IUFCGJKZVZ2I","short_pith_number":"pith:M5QM6KN6","schema_version":"1.0","canonical_sha256":"6760cf29be2503bc7914288c9566b9d205581cb7c32ab0a5f764d2b8d3967de0","source":{"kind":"arxiv","id":"2109.10760","version":2},"attestation_state":"computed","paper":{"title":"FaceEraser: Removing Facial Parts for Augmented Reality","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bingchuan Li, Lijie Liu, Miao Hua, Qian He, Zili Yi, Ziyang Cheng","submitted_at":"2021-09-22T14:30:12Z","abstract_excerpt":"Our task is to remove all facial parts (e.g., eyebrows, eyes, mouth and nose), and then impose visual elements onto the ``blank'' face for augmented reality. Conventional object removal methods rely on image inpainting techniques (e.g., EdgeConnect, HiFill) that are trained in a self-supervised manner with randomly manipulated image pairs. Specifically, given a set of natural images, randomly masked images are used as inputs and the raw images are treated as ground truths. Whereas, this technique does not satisfy the requirements of facial parts removal, as it is hard to obtain ``ground-truth'"},"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":"2109.10760","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-22T14:30:12Z","cross_cats_sorted":[],"title_canon_sha256":"5d2c0127f883e7c850706bbebd88f885e25b9316674a7a737b758a8c9d83c2e6","abstract_canon_sha256":"a441e054e78e44d99cd8026e4df54f7375d8ed5615432278e2996e7f39956f84"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:24:45.117132Z","signature_b64":"r/ah0T0XUatcK7LiG/DPp8GMz+s+a+56TGbUESqhmQsxBEXpxkDA4Ojqqgq/pk7lC1wmVYcRQrN8/KiA17dSCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6760cf29be2503bc7914288c9566b9d205581cb7c32ab0a5f764d2b8d3967de0","last_reissued_at":"2026-07-05T03:24:45.116577Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:24:45.116577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FaceEraser: Removing Facial Parts for Augmented Reality","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bingchuan Li, Lijie Liu, Miao Hua, Qian He, Zili Yi, Ziyang Cheng","submitted_at":"2021-09-22T14:30:12Z","abstract_excerpt":"Our task is to remove all facial parts (e.g., eyebrows, eyes, mouth and nose), and then impose visual elements onto the ``blank'' face for augmented reality. Conventional object removal methods rely on image inpainting techniques (e.g., EdgeConnect, HiFill) that are trained in a self-supervised manner with randomly manipulated image pairs. Specifically, given a set of natural images, randomly masked images are used as inputs and the raw images are treated as ground truths. Whereas, this technique does not satisfy the requirements of facial parts removal, as it is hard to obtain ``ground-truth'"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.10760","kind":"arxiv","version":2},"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/2109.10760/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":"2109.10760","created_at":"2026-07-05T03:24:45.116635+00:00"},{"alias_kind":"arxiv_version","alias_value":"2109.10760v2","created_at":"2026-07-05T03:24:45.116635+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.10760","created_at":"2026-07-05T03:24:45.116635+00:00"},{"alias_kind":"pith_short_12","alias_value":"M5QM6KN6EUB3","created_at":"2026-07-05T03:24:45.116635+00:00"},{"alias_kind":"pith_short_16","alias_value":"M5QM6KN6EUB3Y6IU","created_at":"2026-07-05T03:24:45.116635+00:00"},{"alias_kind":"pith_short_8","alias_value":"M5QM6KN6","created_at":"2026-07-05T03:24:45.116635+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/M5QM6KN6EUB3Y6IUFCGJKZVZ2I","json":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I.json","graph_json":"https://pith.science/api/pith-number/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/graph.json","events_json":"https://pith.science/api/pith-number/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/events.json","paper":"https://pith.science/paper/M5QM6KN6"},"agent_actions":{"view_html":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I","download_json":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I.json","view_paper":"https://pith.science/paper/M5QM6KN6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2109.10760&json=true","fetch_graph":"https://pith.science/api/pith-number/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/graph.json","fetch_events":"https://pith.science/api/pith-number/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/action/storage_attestation","attest_author":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/action/author_attestation","sign_citation":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/action/citation_signature","submit_replication":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/action/replication_record"}},"created_at":"2026-07-05T03:24:45.116635+00:00","updated_at":"2026-07-05T03:24:45.116635+00:00"}