{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:EBOTNGHHZFDAUSPION3P6R546O","short_pith_number":"pith:EBOTNGHH","schema_version":"1.0","canonical_sha256":"205d3698e7c9460a49e87376ff47bcf3a9bd95d1b0086229a24ded6c279e7573","source":{"kind":"arxiv","id":"2406.15831","version":2},"attestation_state":"computed","paper":{"title":"Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Didier Stricker, Marcus Liwicki, Muhammad Saif Ullah Khan, Muhammad Zeshan Afzal, Sankalp Sinha","submitted_at":"2024-06-22T12:24:49Z","abstract_excerpt":"Reconstructing texture-less surfaces poses unique challenges in computer vision, primarily due to the lack of specialized datasets that cater to the nuanced needs of depth and normals estimation in the absence of textural information. We introduce \"Shape2.5D,\" a novel, large-scale dataset designed to address this gap. Comprising 1.17 million frames spanning over 39,772 3D models and 48 unique objects, our dataset provides depth and surface normal maps for texture-less object reconstruction. The proposed dataset includes synthetic images rendered with 3D modeling software to simulate various li"},"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":"2406.15831","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-22T12:24:49Z","cross_cats_sorted":[],"title_canon_sha256":"570f51ff1e09838028209ecc1b2cc627712bd07062e9f806f11aa33146864f9e","abstract_canon_sha256":"2e5b006bb159307f0d0b45b37c5d1c0dfacad10ae4f0de3b99a1b0391ee1fdaa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:31:04.749437Z","signature_b64":"+q5bpCzLum10F3eSPrfRSvDpAu4PckXGETKxcRVEcPkfVji1zGu47Ix5smpFIFxPR0lNlY88rpTXLesp6ynnDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"205d3698e7c9460a49e87376ff47bcf3a9bd95d1b0086229a24ded6c279e7573","last_reissued_at":"2026-07-05T09:31:04.748921Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:31:04.748921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Didier Stricker, Marcus Liwicki, Muhammad Saif Ullah Khan, Muhammad Zeshan Afzal, Sankalp Sinha","submitted_at":"2024-06-22T12:24:49Z","abstract_excerpt":"Reconstructing texture-less surfaces poses unique challenges in computer vision, primarily due to the lack of specialized datasets that cater to the nuanced needs of depth and normals estimation in the absence of textural information. We introduce \"Shape2.5D,\" a novel, large-scale dataset designed to address this gap. Comprising 1.17 million frames spanning over 39,772 3D models and 48 unique objects, our dataset provides depth and surface normal maps for texture-less object reconstruction. The proposed dataset includes synthetic images rendered with 3D modeling software to simulate various li"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.15831","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/2406.15831/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":"2406.15831","created_at":"2026-07-05T09:31:04.748980+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.15831v2","created_at":"2026-07-05T09:31:04.748980+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.15831","created_at":"2026-07-05T09:31:04.748980+00:00"},{"alias_kind":"pith_short_12","alias_value":"EBOTNGHHZFDA","created_at":"2026-07-05T09:31:04.748980+00:00"},{"alias_kind":"pith_short_16","alias_value":"EBOTNGHHZFDAUSPI","created_at":"2026-07-05T09:31:04.748980+00:00"},{"alias_kind":"pith_short_8","alias_value":"EBOTNGHH","created_at":"2026-07-05T09:31:04.748980+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/EBOTNGHHZFDAUSPION3P6R546O","json":"https://pith.science/pith/EBOTNGHHZFDAUSPION3P6R546O.json","graph_json":"https://pith.science/api/pith-number/EBOTNGHHZFDAUSPION3P6R546O/graph.json","events_json":"https://pith.science/api/pith-number/EBOTNGHHZFDAUSPION3P6R546O/events.json","paper":"https://pith.science/paper/EBOTNGHH"},"agent_actions":{"view_html":"https://pith.science/pith/EBOTNGHHZFDAUSPION3P6R546O","download_json":"https://pith.science/pith/EBOTNGHHZFDAUSPION3P6R546O.json","view_paper":"https://pith.science/paper/EBOTNGHH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.15831&json=true","fetch_graph":"https://pith.science/api/pith-number/EBOTNGHHZFDAUSPION3P6R546O/graph.json","fetch_events":"https://pith.science/api/pith-number/EBOTNGHHZFDAUSPION3P6R546O/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EBOTNGHHZFDAUSPION3P6R546O/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EBOTNGHHZFDAUSPION3P6R546O/action/storage_attestation","attest_author":"https://pith.science/pith/EBOTNGHHZFDAUSPION3P6R546O/action/author_attestation","sign_citation":"https://pith.science/pith/EBOTNGHHZFDAUSPION3P6R546O/action/citation_signature","submit_replication":"https://pith.science/pith/EBOTNGHHZFDAUSPION3P6R546O/action/replication_record"}},"created_at":"2026-07-05T09:31:04.748980+00:00","updated_at":"2026-07-05T09:31:04.748980+00:00"}