{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:4Z5HU3V2RE55LVJVYCA6SMLTUI","short_pith_number":"pith:4Z5HU3V2","schema_version":"1.0","canonical_sha256":"e67a7a6eba893bd5d535c081e93173a2033e3acaeb533b27975fa133f14cd49b","source":{"kind":"arxiv","id":"1708.01670","version":1},"attestation_state":"computed","paper":{"title":"Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel Cremers, Jan Kautz, Kihwan Kim, Matthias Nie{\\ss}ner, Robert Maier","submitted_at":"2017-08-04T21:34:46Z","abstract_excerpt":"We introduce a novel method to obtain high-quality 3D reconstructions from consumer RGB-D sensors. Our core idea is to simultaneously optimize for geometry encoded in a signed distance field (SDF), textures from automatically-selected keyframes, and their camera poses along with material and scene lighting. To this end, we propose a joint surface reconstruction approach that is based on Shape-from-Shading (SfS) techniques and utilizes the estimation of spatially-varying spherical harmonics (SVSH) from subvolumes of the reconstructed scene. Through extensive examples and evaluations, we demonst"},"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":"1708.01670","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-04T21:34:46Z","cross_cats_sorted":[],"title_canon_sha256":"ccd5f012f010c75d9bc90a497d3a8d716f659b19e384f12296e66267627ec9d0","abstract_canon_sha256":"36ddb4bc1aed3ae9814f8b365465ae45f95a040cc2b3dbf146ad9c59a3304fac"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:35.239679Z","signature_b64":"em+HGsMSkpuUiyNXl8qflWthL/4ehKRPGD2IBxpyq2AsOwKnMSZ+qDiCR6mCV40wo0VAFF/SWV79oplnqNIwBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e67a7a6eba893bd5d535c081e93173a2033e3acaeb533b27975fa133f14cd49b","last_reissued_at":"2026-05-18T00:38:35.239205Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:35.239205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel Cremers, Jan Kautz, Kihwan Kim, Matthias Nie{\\ss}ner, Robert Maier","submitted_at":"2017-08-04T21:34:46Z","abstract_excerpt":"We introduce a novel method to obtain high-quality 3D reconstructions from consumer RGB-D sensors. Our core idea is to simultaneously optimize for geometry encoded in a signed distance field (SDF), textures from automatically-selected keyframes, and their camera poses along with material and scene lighting. To this end, we propose a joint surface reconstruction approach that is based on Shape-from-Shading (SfS) techniques and utilizes the estimation of spatially-varying spherical harmonics (SVSH) from subvolumes of the reconstructed scene. Through extensive examples and evaluations, we demonst"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01670","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":"1708.01670","created_at":"2026-05-18T00:38:35.239271+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.01670v1","created_at":"2026-05-18T00:38:35.239271+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01670","created_at":"2026-05-18T00:38:35.239271+00:00"},{"alias_kind":"pith_short_12","alias_value":"4Z5HU3V2RE55","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_16","alias_value":"4Z5HU3V2RE55LVJV","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_8","alias_value":"4Z5HU3V2","created_at":"2026-05-18T12:31:00.734936+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/4Z5HU3V2RE55LVJVYCA6SMLTUI","json":"https://pith.science/pith/4Z5HU3V2RE55LVJVYCA6SMLTUI.json","graph_json":"https://pith.science/api/pith-number/4Z5HU3V2RE55LVJVYCA6SMLTUI/graph.json","events_json":"https://pith.science/api/pith-number/4Z5HU3V2RE55LVJVYCA6SMLTUI/events.json","paper":"https://pith.science/paper/4Z5HU3V2"},"agent_actions":{"view_html":"https://pith.science/pith/4Z5HU3V2RE55LVJVYCA6SMLTUI","download_json":"https://pith.science/pith/4Z5HU3V2RE55LVJVYCA6SMLTUI.json","view_paper":"https://pith.science/paper/4Z5HU3V2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.01670&json=true","fetch_graph":"https://pith.science/api/pith-number/4Z5HU3V2RE55LVJVYCA6SMLTUI/graph.json","fetch_events":"https://pith.science/api/pith-number/4Z5HU3V2RE55LVJVYCA6SMLTUI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4Z5HU3V2RE55LVJVYCA6SMLTUI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4Z5HU3V2RE55LVJVYCA6SMLTUI/action/storage_attestation","attest_author":"https://pith.science/pith/4Z5HU3V2RE55LVJVYCA6SMLTUI/action/author_attestation","sign_citation":"https://pith.science/pith/4Z5HU3V2RE55LVJVYCA6SMLTUI/action/citation_signature","submit_replication":"https://pith.science/pith/4Z5HU3V2RE55LVJVYCA6SMLTUI/action/replication_record"}},"created_at":"2026-05-18T00:38:35.239271+00:00","updated_at":"2026-05-18T00:38:35.239271+00:00"}