{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:5VTWMKMLTCHJFHZ6UQRVWZZFBH","short_pith_number":"pith:5VTWMKML","schema_version":"1.0","canonical_sha256":"ed6766298b988e929f3ea4235b672509ea8aa2b6a622f82358fdcb02959df318","source":{"kind":"arxiv","id":"2406.14510","version":2},"attestation_state":"computed","paper":{"title":"V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.GR"],"primary_cat":"cs.CV","authors_text":"Aharon Azulay, Amit H. Bermano, Eitan Richardson, Ohad Fried, Rotem Shalev-Arkushin, Tavi Halperin","submitted_at":"2024-06-20T17:14:43Z","abstract_excerpt":"Diffusion-based generative models have recently shown remarkable image and video editing capabilities. However, local video editing, particularly removal of small attributes like glasses, remains a challenge. Existing methods either alter the videos excessively, generate unrealistic artifacts, or fail to perform the requested edit consistently throughout the video. In this work, we focus on consistent and identity-preserving removal of glasses in videos, using it as a case study for consistent local attribute removal in videos. Due to the lack of paired data, we adopt a weakly supervised appro"},"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":"2406.14510","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-20T17:14:43Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"8068c3cb4ed1cc39aaf0232e75762b3373619dfeb81bd568221318c3ae20ae1f","abstract_canon_sha256":"deabd2ca0595e3e0dae85cd96a50f31887bfea375232eefd6d28aa4a23846114"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:48:17.029965Z","signature_b64":"jve5Z8IPMY8kbX98x9Gi+/jRtJt1mNpiLYVSf/uik631VJIRqiIZCLCtgdNaWEUVS8qXZPNqQWFBxOM1iHjDDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed6766298b988e929f3ea4235b672509ea8aa2b6a622f82358fdcb02959df318","last_reissued_at":"2026-07-05T10:48:17.029475Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:48:17.029475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"V-LASIK: Consistent Glasses-Removal from Videos Using Synthetic Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.GR"],"primary_cat":"cs.CV","authors_text":"Aharon Azulay, Amit H. Bermano, Eitan Richardson, Ohad Fried, Rotem Shalev-Arkushin, Tavi Halperin","submitted_at":"2024-06-20T17:14:43Z","abstract_excerpt":"Diffusion-based generative models have recently shown remarkable image and video editing capabilities. However, local video editing, particularly removal of small attributes like glasses, remains a challenge. Existing methods either alter the videos excessively, generate unrealistic artifacts, or fail to perform the requested edit consistently throughout the video. In this work, we focus on consistent and identity-preserving removal of glasses in videos, using it as a case study for consistent local attribute removal in videos. Due to the lack of paired data, we adopt a weakly supervised appro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.14510","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/2406.14510/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":"2406.14510","created_at":"2026-07-05T10:48:17.029528+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.14510v2","created_at":"2026-07-05T10:48:17.029528+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.14510","created_at":"2026-07-05T10:48:17.029528+00:00"},{"alias_kind":"pith_short_12","alias_value":"5VTWMKMLTCHJ","created_at":"2026-07-05T10:48:17.029528+00:00"},{"alias_kind":"pith_short_16","alias_value":"5VTWMKMLTCHJFHZ6","created_at":"2026-07-05T10:48:17.029528+00:00"},{"alias_kind":"pith_short_8","alias_value":"5VTWMKML","created_at":"2026-07-05T10:48:17.029528+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/5VTWMKMLTCHJFHZ6UQRVWZZFBH","json":"https://pith.science/pith/5VTWMKMLTCHJFHZ6UQRVWZZFBH.json","graph_json":"https://pith.science/api/pith-number/5VTWMKMLTCHJFHZ6UQRVWZZFBH/graph.json","events_json":"https://pith.science/api/pith-number/5VTWMKMLTCHJFHZ6UQRVWZZFBH/events.json","paper":"https://pith.science/paper/5VTWMKML"},"agent_actions":{"view_html":"https://pith.science/pith/5VTWMKMLTCHJFHZ6UQRVWZZFBH","download_json":"https://pith.science/pith/5VTWMKMLTCHJFHZ6UQRVWZZFBH.json","view_paper":"https://pith.science/paper/5VTWMKML","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.14510&json=true","fetch_graph":"https://pith.science/api/pith-number/5VTWMKMLTCHJFHZ6UQRVWZZFBH/graph.json","fetch_events":"https://pith.science/api/pith-number/5VTWMKMLTCHJFHZ6UQRVWZZFBH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5VTWMKMLTCHJFHZ6UQRVWZZFBH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5VTWMKMLTCHJFHZ6UQRVWZZFBH/action/storage_attestation","attest_author":"https://pith.science/pith/5VTWMKMLTCHJFHZ6UQRVWZZFBH/action/author_attestation","sign_citation":"https://pith.science/pith/5VTWMKMLTCHJFHZ6UQRVWZZFBH/action/citation_signature","submit_replication":"https://pith.science/pith/5VTWMKMLTCHJFHZ6UQRVWZZFBH/action/replication_record"}},"created_at":"2026-07-05T10:48:17.029528+00:00","updated_at":"2026-07-05T10:48:17.029528+00:00"}