{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ZIU7TFPZLUHOKAIRQJKTUSJGGP","short_pith_number":"pith:ZIU7TFPZ","schema_version":"1.0","canonical_sha256":"ca29f995f95d0ee5011182553a492633d4508593384ba7a505b2c572a0943b7e","source":{"kind":"arxiv","id":"2506.14709","version":2},"attestation_state":"computed","paper":{"title":"DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Amrit Kumar Muduli, Chirag Jaiswal, Debtanu Gupta, Kunal Swami, Pankaj Kumar Bajpai","submitted_at":"2025-06-17T16:49:27Z","abstract_excerpt":"Depth estimation is crucial for intelligent systems, enabling applications from autonomous navigation to augmented reality. While traditional stereo and active depth sensors have limitations in cost, power, and robustness, dual-pixel (DP) technology, ubiquitous in modern cameras, offers a compelling alternative. This paper introduces DiFuse-Net, a novel modality decoupled network design for disentangled RGB and DP based depth estimation. DiFuse-Net features a window bi-directional parallax attention mechanism (WBiPAM) specifically designed to capture the subtle DP disparity cues unique to smar"},"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":"2506.14709","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-17T16:49:27Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"231397bec04099d9c6cf85b25d930347e51b35926b1eac67c724d2c808e5b817","abstract_canon_sha256":"bff2a2b748ee4471c60733bf57e3824bcb6ca060b99053cf46965da756b0e62e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:44.145100Z","signature_b64":"ls2HdkTLgcHdUZkcybYl7ke7vw/VW5wITrMsCqbWoqaXlNTG3QuaPrh8kjr+QsoAsTqIPomf+BO8A03XxysFAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca29f995f95d0ee5011182553a492633d4508593384ba7a505b2c572a0943b7e","last_reissued_at":"2026-07-05T11:46:44.144600Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:44.144600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Amrit Kumar Muduli, Chirag Jaiswal, Debtanu Gupta, Kunal Swami, Pankaj Kumar Bajpai","submitted_at":"2025-06-17T16:49:27Z","abstract_excerpt":"Depth estimation is crucial for intelligent systems, enabling applications from autonomous navigation to augmented reality. While traditional stereo and active depth sensors have limitations in cost, power, and robustness, dual-pixel (DP) technology, ubiquitous in modern cameras, offers a compelling alternative. This paper introduces DiFuse-Net, a novel modality decoupled network design for disentangled RGB and DP based depth estimation. DiFuse-Net features a window bi-directional parallax attention mechanism (WBiPAM) specifically designed to capture the subtle DP disparity cues unique to smar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14709","kind":"arxiv","version":2},"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/2506.14709/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":"2506.14709","created_at":"2026-07-05T11:46:44.144657+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.14709v2","created_at":"2026-07-05T11:46:44.144657+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14709","created_at":"2026-07-05T11:46:44.144657+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZIU7TFPZLUHO","created_at":"2026-07-05T11:46:44.144657+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZIU7TFPZLUHOKAIR","created_at":"2026-07-05T11:46:44.144657+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZIU7TFPZ","created_at":"2026-07-05T11:46:44.144657+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/ZIU7TFPZLUHOKAIRQJKTUSJGGP","json":"https://pith.science/pith/ZIU7TFPZLUHOKAIRQJKTUSJGGP.json","graph_json":"https://pith.science/api/pith-number/ZIU7TFPZLUHOKAIRQJKTUSJGGP/graph.json","events_json":"https://pith.science/api/pith-number/ZIU7TFPZLUHOKAIRQJKTUSJGGP/events.json","paper":"https://pith.science/paper/ZIU7TFPZ"},"agent_actions":{"view_html":"https://pith.science/pith/ZIU7TFPZLUHOKAIRQJKTUSJGGP","download_json":"https://pith.science/pith/ZIU7TFPZLUHOKAIRQJKTUSJGGP.json","view_paper":"https://pith.science/paper/ZIU7TFPZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.14709&json=true","fetch_graph":"https://pith.science/api/pith-number/ZIU7TFPZLUHOKAIRQJKTUSJGGP/graph.json","fetch_events":"https://pith.science/api/pith-number/ZIU7TFPZLUHOKAIRQJKTUSJGGP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZIU7TFPZLUHOKAIRQJKTUSJGGP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZIU7TFPZLUHOKAIRQJKTUSJGGP/action/storage_attestation","attest_author":"https://pith.science/pith/ZIU7TFPZLUHOKAIRQJKTUSJGGP/action/author_attestation","sign_citation":"https://pith.science/pith/ZIU7TFPZLUHOKAIRQJKTUSJGGP/action/citation_signature","submit_replication":"https://pith.science/pith/ZIU7TFPZLUHOKAIRQJKTUSJGGP/action/replication_record"}},"created_at":"2026-07-05T11:46:44.144657+00:00","updated_at":"2026-07-05T11:46:44.144657+00:00"}