{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:DGTK7ITJQHUIX4XIGBXZKOGUVX","short_pith_number":"pith:DGTK7ITJ","schema_version":"1.0","canonical_sha256":"19a6afa26981e88bf2e8306f9538d4adfa1b1a9d2f94f05b75e12bd8219f8055","source":{"kind":"arxiv","id":"2309.16949","version":1},"attestation_state":"computed","paper":{"title":"CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cheng Li, Chi Zhang, Chu He, Gui-Song Xia, Lei Yu, Mingyuan Lin, Wen Yang, Xiang Zhang","submitted_at":"2023-09-29T03:27:53Z","abstract_excerpt":"Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by the resolution gap crossing two modalities in both spatial and temporal domains. This paper is devoted to bridging the gap by increasing the temporal resolution for images, i.e., motion deblurring, and the spatial resolution for events, i.e., event super-resolving, respectively. To this end, we introduce CrossZoom, a novel unified neural Network (CZ-Net) to jointly recover sharp latent sequences within the exposure per"},"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":"2309.16949","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-29T03:27:53Z","cross_cats_sorted":[],"title_canon_sha256":"ca67b17005700c20d0e6bce8b3b2edfd8b48d2fc16be52bea4837ac972322767","abstract_canon_sha256":"875826cc78bd03ea873238d9427d331604700592f21e6c5537fec76662b9235a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:55:30.187323Z","signature_b64":"IhJKhMJtcDML0/TtT3EhzhH3kYe5zjbrDm5E8ayzKE5FevlWqCd5e5urXwGWtOxZXrZbuOZnaDS004Rm0Q0bBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19a6afa26981e88bf2e8306f9538d4adfa1b1a9d2f94f05b75e12bd8219f8055","last_reissued_at":"2026-07-05T06:55:30.186896Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:55:30.186896Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cheng Li, Chi Zhang, Chu He, Gui-Song Xia, Lei Yu, Mingyuan Lin, Wen Yang, Xiang Zhang","submitted_at":"2023-09-29T03:27:53Z","abstract_excerpt":"Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by the resolution gap crossing two modalities in both spatial and temporal domains. This paper is devoted to bridging the gap by increasing the temporal resolution for images, i.e., motion deblurring, and the spatial resolution for events, i.e., event super-resolving, respectively. To this end, we introduce CrossZoom, a novel unified neural Network (CZ-Net) to jointly recover sharp latent sequences within the exposure per"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16949","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/2309.16949/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":"2309.16949","created_at":"2026-07-05T06:55:30.186961+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.16949v1","created_at":"2026-07-05T06:55:30.186961+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16949","created_at":"2026-07-05T06:55:30.186961+00:00"},{"alias_kind":"pith_short_12","alias_value":"DGTK7ITJQHUI","created_at":"2026-07-05T06:55:30.186961+00:00"},{"alias_kind":"pith_short_16","alias_value":"DGTK7ITJQHUIX4XI","created_at":"2026-07-05T06:55:30.186961+00:00"},{"alias_kind":"pith_short_8","alias_value":"DGTK7ITJ","created_at":"2026-07-05T06:55:30.186961+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/DGTK7ITJQHUIX4XIGBXZKOGUVX","json":"https://pith.science/pith/DGTK7ITJQHUIX4XIGBXZKOGUVX.json","graph_json":"https://pith.science/api/pith-number/DGTK7ITJQHUIX4XIGBXZKOGUVX/graph.json","events_json":"https://pith.science/api/pith-number/DGTK7ITJQHUIX4XIGBXZKOGUVX/events.json","paper":"https://pith.science/paper/DGTK7ITJ"},"agent_actions":{"view_html":"https://pith.science/pith/DGTK7ITJQHUIX4XIGBXZKOGUVX","download_json":"https://pith.science/pith/DGTK7ITJQHUIX4XIGBXZKOGUVX.json","view_paper":"https://pith.science/paper/DGTK7ITJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.16949&json=true","fetch_graph":"https://pith.science/api/pith-number/DGTK7ITJQHUIX4XIGBXZKOGUVX/graph.json","fetch_events":"https://pith.science/api/pith-number/DGTK7ITJQHUIX4XIGBXZKOGUVX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DGTK7ITJQHUIX4XIGBXZKOGUVX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DGTK7ITJQHUIX4XIGBXZKOGUVX/action/storage_attestation","attest_author":"https://pith.science/pith/DGTK7ITJQHUIX4XIGBXZKOGUVX/action/author_attestation","sign_citation":"https://pith.science/pith/DGTK7ITJQHUIX4XIGBXZKOGUVX/action/citation_signature","submit_replication":"https://pith.science/pith/DGTK7ITJQHUIX4XIGBXZKOGUVX/action/replication_record"}},"created_at":"2026-07-05T06:55:30.186961+00:00","updated_at":"2026-07-05T06:55:30.186961+00:00"}