{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:JTQKO7YIYHBWNAJLS3RWDOHXQI","short_pith_number":"pith:JTQKO7YI","schema_version":"1.0","canonical_sha256":"4ce0a77f08c1c366812b96e361b8f7821b089a973998ba1f9c7adfec1c983356","source":{"kind":"arxiv","id":"2209.13925","version":1},"attestation_state":"computed","paper":{"title":"DeViT: Deformed Vision Transformers in Video Inpainting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changlin Li, Chun Yuan, Jiayin Cai, Xin Tao, Yu-Wing Tai","submitted_at":"2022-09-28T08:57:14Z","abstract_excerpt":"This paper proposes a novel video inpainting method. We make three main contributions: First, we extended previous Transformers with patch alignment by introducing Deformed Patch-based Homography (DePtH), which improves patch-level feature alignments without additional supervision and benefits challenging scenes with various deformation. Second, we introduce Mask Pruning-based Patch Attention (MPPA) to improve patch-wised feature matching by pruning out less essential features and using saliency map. MPPA enhances matching accuracy between warped tokens with invalid pixels. Third, we introduce"},"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":"2209.13925","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-09-28T08:57:14Z","cross_cats_sorted":[],"title_canon_sha256":"5a6f44e6f441d469856e8723cd07c29a7a1b48b09bc36959b801df1ddea2a9de","abstract_canon_sha256":"0bb6feb501b01237df460c5c7331ab70cef39890169570128a7895622d80f21c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:01:45.774784Z","signature_b64":"HZIkVblca4ivNP8CTxrWLkMdPae290amOU3XKKsvOxv12Wih2ZPB1xjcGtDIPqkPFV2aqb5Ko/biVKcCXs7ACw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ce0a77f08c1c366812b96e361b8f7821b089a973998ba1f9c7adfec1c983356","last_reissued_at":"2026-07-05T05:01:45.774292Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:01:45.774292Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DeViT: Deformed Vision Transformers in Video Inpainting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changlin Li, Chun Yuan, Jiayin Cai, Xin Tao, Yu-Wing Tai","submitted_at":"2022-09-28T08:57:14Z","abstract_excerpt":"This paper proposes a novel video inpainting method. We make three main contributions: First, we extended previous Transformers with patch alignment by introducing Deformed Patch-based Homography (DePtH), which improves patch-level feature alignments without additional supervision and benefits challenging scenes with various deformation. Second, we introduce Mask Pruning-based Patch Attention (MPPA) to improve patch-wised feature matching by pruning out less essential features and using saliency map. MPPA enhances matching accuracy between warped tokens with invalid pixels. Third, we introduce"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.13925","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/2209.13925/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":"2209.13925","created_at":"2026-07-05T05:01:45.774357+00:00"},{"alias_kind":"arxiv_version","alias_value":"2209.13925v1","created_at":"2026-07-05T05:01:45.774357+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.13925","created_at":"2026-07-05T05:01:45.774357+00:00"},{"alias_kind":"pith_short_12","alias_value":"JTQKO7YIYHBW","created_at":"2026-07-05T05:01:45.774357+00:00"},{"alias_kind":"pith_short_16","alias_value":"JTQKO7YIYHBWNAJL","created_at":"2026-07-05T05:01:45.774357+00:00"},{"alias_kind":"pith_short_8","alias_value":"JTQKO7YI","created_at":"2026-07-05T05:01:45.774357+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/JTQKO7YIYHBWNAJLS3RWDOHXQI","json":"https://pith.science/pith/JTQKO7YIYHBWNAJLS3RWDOHXQI.json","graph_json":"https://pith.science/api/pith-number/JTQKO7YIYHBWNAJLS3RWDOHXQI/graph.json","events_json":"https://pith.science/api/pith-number/JTQKO7YIYHBWNAJLS3RWDOHXQI/events.json","paper":"https://pith.science/paper/JTQKO7YI"},"agent_actions":{"view_html":"https://pith.science/pith/JTQKO7YIYHBWNAJLS3RWDOHXQI","download_json":"https://pith.science/pith/JTQKO7YIYHBWNAJLS3RWDOHXQI.json","view_paper":"https://pith.science/paper/JTQKO7YI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2209.13925&json=true","fetch_graph":"https://pith.science/api/pith-number/JTQKO7YIYHBWNAJLS3RWDOHXQI/graph.json","fetch_events":"https://pith.science/api/pith-number/JTQKO7YIYHBWNAJLS3RWDOHXQI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JTQKO7YIYHBWNAJLS3RWDOHXQI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JTQKO7YIYHBWNAJLS3RWDOHXQI/action/storage_attestation","attest_author":"https://pith.science/pith/JTQKO7YIYHBWNAJLS3RWDOHXQI/action/author_attestation","sign_citation":"https://pith.science/pith/JTQKO7YIYHBWNAJLS3RWDOHXQI/action/citation_signature","submit_replication":"https://pith.science/pith/JTQKO7YIYHBWNAJLS3RWDOHXQI/action/replication_record"}},"created_at":"2026-07-05T05:01:45.774357+00:00","updated_at":"2026-07-05T05:01:45.774357+00:00"}