{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:WPI5RMI4YJJUDA7WGP3YZYE32E","short_pith_number":"pith:WPI5RMI4","schema_version":"1.0","canonical_sha256":"b3d1d8b11cc2534183f633f78ce09bd128cc9974be62c6d221896ae941e755b1","source":{"kind":"arxiv","id":"2308.11116","version":1},"attestation_state":"computed","paper":{"title":"LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haesoo Chung, Nam Ik Cho","submitted_at":"2023-08-22T01:43:00Z","abstract_excerpt":"As demands for high-quality videos continue to rise, high-resolution and high-dynamic range (HDR) imaging techniques are drawing attention. To generate an HDR video from low dynamic range (LDR) images, one of the critical steps is the motion compensation between LDR frames, for which most existing works employed the optical flow algorithm. However, these methods suffer from flow estimation errors when saturation or complicated motions exist. In this paper, we propose an end-to-end HDR video composition framework, which aligns LDR frames in the feature space and then merges aligned features int"},"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":"2308.11116","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-22T01:43:00Z","cross_cats_sorted":[],"title_canon_sha256":"be84485cd75d2ba9f942a4f11f82c680c33c0ef7c060cd205199cf8fb713a565","abstract_canon_sha256":"fe7ce0812ab701147cea5efcfa5d8a8445617962d4d707cf47d960dadb0248fa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:43:29.935712Z","signature_b64":"G5S8yugAVCOQSD10rspruNHc0FuVE1URRXmHIoZwshv5WJ7ekb2uMy4LkiD88GYjmx9vkUUf6akFqOe2Zgd8CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3d1d8b11cc2534183f633f78ce09bd128cc9974be62c6d221896ae941e755b1","last_reissued_at":"2026-07-05T06:43:29.935250Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:43:29.935250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haesoo Chung, Nam Ik Cho","submitted_at":"2023-08-22T01:43:00Z","abstract_excerpt":"As demands for high-quality videos continue to rise, high-resolution and high-dynamic range (HDR) imaging techniques are drawing attention. To generate an HDR video from low dynamic range (LDR) images, one of the critical steps is the motion compensation between LDR frames, for which most existing works employed the optical flow algorithm. However, these methods suffer from flow estimation errors when saturation or complicated motions exist. In this paper, we propose an end-to-end HDR video composition framework, which aligns LDR frames in the feature space and then merges aligned features int"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.11116","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/2308.11116/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":"2308.11116","created_at":"2026-07-05T06:43:29.935321+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.11116v1","created_at":"2026-07-05T06:43:29.935321+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.11116","created_at":"2026-07-05T06:43:29.935321+00:00"},{"alias_kind":"pith_short_12","alias_value":"WPI5RMI4YJJU","created_at":"2026-07-05T06:43:29.935321+00:00"},{"alias_kind":"pith_short_16","alias_value":"WPI5RMI4YJJUDA7W","created_at":"2026-07-05T06:43:29.935321+00:00"},{"alias_kind":"pith_short_8","alias_value":"WPI5RMI4","created_at":"2026-07-05T06:43:29.935321+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/WPI5RMI4YJJUDA7WGP3YZYE32E","json":"https://pith.science/pith/WPI5RMI4YJJUDA7WGP3YZYE32E.json","graph_json":"https://pith.science/api/pith-number/WPI5RMI4YJJUDA7WGP3YZYE32E/graph.json","events_json":"https://pith.science/api/pith-number/WPI5RMI4YJJUDA7WGP3YZYE32E/events.json","paper":"https://pith.science/paper/WPI5RMI4"},"agent_actions":{"view_html":"https://pith.science/pith/WPI5RMI4YJJUDA7WGP3YZYE32E","download_json":"https://pith.science/pith/WPI5RMI4YJJUDA7WGP3YZYE32E.json","view_paper":"https://pith.science/paper/WPI5RMI4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.11116&json=true","fetch_graph":"https://pith.science/api/pith-number/WPI5RMI4YJJUDA7WGP3YZYE32E/graph.json","fetch_events":"https://pith.science/api/pith-number/WPI5RMI4YJJUDA7WGP3YZYE32E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WPI5RMI4YJJUDA7WGP3YZYE32E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WPI5RMI4YJJUDA7WGP3YZYE32E/action/storage_attestation","attest_author":"https://pith.science/pith/WPI5RMI4YJJUDA7WGP3YZYE32E/action/author_attestation","sign_citation":"https://pith.science/pith/WPI5RMI4YJJUDA7WGP3YZYE32E/action/citation_signature","submit_replication":"https://pith.science/pith/WPI5RMI4YJJUDA7WGP3YZYE32E/action/replication_record"}},"created_at":"2026-07-05T06:43:29.935321+00:00","updated_at":"2026-07-05T06:43:29.935321+00:00"}