{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:LHRJVE6BWX6U75TZQS5U2BRZAB","short_pith_number":"pith:LHRJVE6B","schema_version":"1.0","canonical_sha256":"59e29a93c1b5fd4ff67984bb4d0639006f242e7706d7317d11ea8b7c672330cf","source":{"kind":"arxiv","id":"2207.10852","version":1},"attestation_state":"computed","paper":{"title":"Spatio-Temporal Deformable Attention Network for Video Deblurring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haozhe Xie, Hongxun Yao, Huicong Zhang","submitted_at":"2022-07-22T03:03:08Z","abstract_excerpt":"The key success factor of the video deblurring methods is to compensate for the blurry pixels of the mid-frame with the sharp pixels of the adjacent video frames. Therefore, mainstream methods align the adjacent frames based on the estimated optical flows and fuse the alignment frames for restoration. However, these methods sometimes generate unsatisfactory results because they rarely consider the blur levels of pixels, which may introduce blurry pixels from video frames. Actually, not all the pixels in the video frames are sharp and beneficial for deblurring. To address this problem, we propo"},"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":"2207.10852","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-22T03:03:08Z","cross_cats_sorted":[],"title_canon_sha256":"7bac62670b53e75064b2cdb628cd5d1a5937d77e6735d002c00b09f06e60cca4","abstract_canon_sha256":"b774400821eb51953afe30ee79fcc5b7e9cab374d13f3f0b1f3a63386ab43ec5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:42:40.266386Z","signature_b64":"TNzl+0mdTlrDqlLezF5EFlxYovbm3SsNXJTdDZWRuK6Uvts8tM6wWJWnS0RTR91X1IYOWjUHqltdXiqKVXNnAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59e29a93c1b5fd4ff67984bb4d0639006f242e7706d7317d11ea8b7c672330cf","last_reissued_at":"2026-07-05T04:42:40.266002Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:42:40.266002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spatio-Temporal Deformable Attention Network for Video Deblurring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haozhe Xie, Hongxun Yao, Huicong Zhang","submitted_at":"2022-07-22T03:03:08Z","abstract_excerpt":"The key success factor of the video deblurring methods is to compensate for the blurry pixels of the mid-frame with the sharp pixels of the adjacent video frames. Therefore, mainstream methods align the adjacent frames based on the estimated optical flows and fuse the alignment frames for restoration. However, these methods sometimes generate unsatisfactory results because they rarely consider the blur levels of pixels, which may introduce blurry pixels from video frames. Actually, not all the pixels in the video frames are sharp and beneficial for deblurring. To address this problem, we propo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.10852","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/2207.10852/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":"2207.10852","created_at":"2026-07-05T04:42:40.266055+00:00"},{"alias_kind":"arxiv_version","alias_value":"2207.10852v1","created_at":"2026-07-05T04:42:40.266055+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.10852","created_at":"2026-07-05T04:42:40.266055+00:00"},{"alias_kind":"pith_short_12","alias_value":"LHRJVE6BWX6U","created_at":"2026-07-05T04:42:40.266055+00:00"},{"alias_kind":"pith_short_16","alias_value":"LHRJVE6BWX6U75TZ","created_at":"2026-07-05T04:42:40.266055+00:00"},{"alias_kind":"pith_short_8","alias_value":"LHRJVE6B","created_at":"2026-07-05T04:42:40.266055+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/LHRJVE6BWX6U75TZQS5U2BRZAB","json":"https://pith.science/pith/LHRJVE6BWX6U75TZQS5U2BRZAB.json","graph_json":"https://pith.science/api/pith-number/LHRJVE6BWX6U75TZQS5U2BRZAB/graph.json","events_json":"https://pith.science/api/pith-number/LHRJVE6BWX6U75TZQS5U2BRZAB/events.json","paper":"https://pith.science/paper/LHRJVE6B"},"agent_actions":{"view_html":"https://pith.science/pith/LHRJVE6BWX6U75TZQS5U2BRZAB","download_json":"https://pith.science/pith/LHRJVE6BWX6U75TZQS5U2BRZAB.json","view_paper":"https://pith.science/paper/LHRJVE6B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2207.10852&json=true","fetch_graph":"https://pith.science/api/pith-number/LHRJVE6BWX6U75TZQS5U2BRZAB/graph.json","fetch_events":"https://pith.science/api/pith-number/LHRJVE6BWX6U75TZQS5U2BRZAB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LHRJVE6BWX6U75TZQS5U2BRZAB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LHRJVE6BWX6U75TZQS5U2BRZAB/action/storage_attestation","attest_author":"https://pith.science/pith/LHRJVE6BWX6U75TZQS5U2BRZAB/action/author_attestation","sign_citation":"https://pith.science/pith/LHRJVE6BWX6U75TZQS5U2BRZAB/action/citation_signature","submit_replication":"https://pith.science/pith/LHRJVE6BWX6U75TZQS5U2BRZAB/action/replication_record"}},"created_at":"2026-07-05T04:42:40.266055+00:00","updated_at":"2026-07-05T04:42:40.266055+00:00"}