{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:OHBVKZCA2OICNGVCPIPN5JKQJ2","short_pith_number":"pith:OHBVKZCA","schema_version":"1.0","canonical_sha256":"71c3556440d390269aa27a1edea5504e964370e5a16da3635981b88bed3c9c07","source":{"kind":"arxiv","id":"1904.05065","version":1},"attestation_state":"computed","paper":{"title":"DAVANet: Stereo Deblurring with View Aggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haozhe Xie, Jiawei Zhang, Jimmy Ren, Jinshan Pan, Shangchen Zhou, Wangmeng Zuo","submitted_at":"2019-04-10T08:47:56Z","abstract_excerpt":"Nowadays stereo cameras are more commonly adopted in emerging devices such as dual-lens smartphones and unmanned aerial vehicles. However, they also suffer from blurry images in dynamic scenes which leads to visual discomfort and hampers further image processing. Previous works have succeeded in monocular deblurring, yet there are few studies on deblurring for stereoscopic images. By exploiting the two-view nature of stereo images, we propose a novel stereo image deblurring network with Depth Awareness and View Aggregation, named DAVANet. In our proposed network, 3D scene cues from the depth a"},"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":"1904.05065","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-10T08:47:56Z","cross_cats_sorted":[],"title_canon_sha256":"287e0934c06efaaf8eef0606a86f792a7c8b7b1ea97718cac8e8133e98a2ac14","abstract_canon_sha256":"52566fc811706a899df009bc2b61d0bbb7ed73c4c58a421698c70caa9f2fe1ee"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:54.264939Z","signature_b64":"YUQ4gh/z080wtDrnQT3pso/XAkBD+K2VokW58Kbkfr9iSiEe38VogWVfz65Rb+Sm+KJkehlDOh+QYaLmoPqLBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71c3556440d390269aa27a1edea5504e964370e5a16da3635981b88bed3c9c07","last_reissued_at":"2026-05-17T23:48:54.264495Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:54.264495Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DAVANet: Stereo Deblurring with View Aggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haozhe Xie, Jiawei Zhang, Jimmy Ren, Jinshan Pan, Shangchen Zhou, Wangmeng Zuo","submitted_at":"2019-04-10T08:47:56Z","abstract_excerpt":"Nowadays stereo cameras are more commonly adopted in emerging devices such as dual-lens smartphones and unmanned aerial vehicles. However, they also suffer from blurry images in dynamic scenes which leads to visual discomfort and hampers further image processing. Previous works have succeeded in monocular deblurring, yet there are few studies on deblurring for stereoscopic images. By exploiting the two-view nature of stereo images, we propose a novel stereo image deblurring network with Depth Awareness and View Aggregation, named DAVANet. In our proposed network, 3D scene cues from the depth a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.05065","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":""},"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":"1904.05065","created_at":"2026-05-17T23:48:54.264558+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.05065v1","created_at":"2026-05-17T23:48:54.264558+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.05065","created_at":"2026-05-17T23:48:54.264558+00:00"},{"alias_kind":"pith_short_12","alias_value":"OHBVKZCA2OIC","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"OHBVKZCA2OICNGVC","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"OHBVKZCA","created_at":"2026-05-18T12:33:24.271573+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/OHBVKZCA2OICNGVCPIPN5JKQJ2","json":"https://pith.science/pith/OHBVKZCA2OICNGVCPIPN5JKQJ2.json","graph_json":"https://pith.science/api/pith-number/OHBVKZCA2OICNGVCPIPN5JKQJ2/graph.json","events_json":"https://pith.science/api/pith-number/OHBVKZCA2OICNGVCPIPN5JKQJ2/events.json","paper":"https://pith.science/paper/OHBVKZCA"},"agent_actions":{"view_html":"https://pith.science/pith/OHBVKZCA2OICNGVCPIPN5JKQJ2","download_json":"https://pith.science/pith/OHBVKZCA2OICNGVCPIPN5JKQJ2.json","view_paper":"https://pith.science/paper/OHBVKZCA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.05065&json=true","fetch_graph":"https://pith.science/api/pith-number/OHBVKZCA2OICNGVCPIPN5JKQJ2/graph.json","fetch_events":"https://pith.science/api/pith-number/OHBVKZCA2OICNGVCPIPN5JKQJ2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OHBVKZCA2OICNGVCPIPN5JKQJ2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OHBVKZCA2OICNGVCPIPN5JKQJ2/action/storage_attestation","attest_author":"https://pith.science/pith/OHBVKZCA2OICNGVCPIPN5JKQJ2/action/author_attestation","sign_citation":"https://pith.science/pith/OHBVKZCA2OICNGVCPIPN5JKQJ2/action/citation_signature","submit_replication":"https://pith.science/pith/OHBVKZCA2OICNGVCPIPN5JKQJ2/action/replication_record"}},"created_at":"2026-05-17T23:48:54.264558+00:00","updated_at":"2026-05-17T23:48:54.264558+00:00"}