{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:G647JMMDSOD6XWPABJHA6UO3K7","short_pith_number":"pith:G647JMMD","schema_version":"1.0","canonical_sha256":"37b9f4b1839387ebd9e00a4e0f51db57f1288f01a924f4ad2203e321c327686c","source":{"kind":"arxiv","id":"2408.04474","version":2},"attestation_state":"computed","paper":{"title":"LumiGauss: Relightable Gaussian Splatting in the Wild","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Joanna Kaleta, Kacper Kania, Marek Kowalski, Tomasz Trzcinski","submitted_at":"2024-08-06T23:41:57Z","abstract_excerpt":"Decoupling lighting from geometry using unconstrained photo collections is notoriously challenging. Solving it would benefit many users as creating complex 3D assets takes days of manual labor. Many previous works have attempted to address this issue, often at the expense of output fidelity, which questions the practicality of such methods. We introduce LumiGauss - a technique that tackles 3D reconstruction of scenes and environmental lighting through 2D Gaussian Splatting. Our approach yields high-quality scene reconstructions and enables realistic lighting synthesis under novel environment m"},"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":"2408.04474","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-06T23:41:57Z","cross_cats_sorted":[],"title_canon_sha256":"aa48397a78c4f10706e14774487ee2bfa42debf7e1b96e1210ef5ef53fb70500","abstract_canon_sha256":"132dfa581da510378a22bded7e5fdb23a2882f397b95a9af786c02cb8fe5189b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:45:52.468603Z","signature_b64":"nBr9TOb4jeFtY4MBLZM5aV5H2z/s/y88Z1dcWg1KvJpUang69G6X1UT5z00FdMDxL4l2G1zHn9fhJc5NxIaGCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37b9f4b1839387ebd9e00a4e0f51db57f1288f01a924f4ad2203e321c327686c","last_reissued_at":"2026-07-05T09:45:52.468157Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:45:52.468157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LumiGauss: Relightable Gaussian Splatting in the Wild","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Joanna Kaleta, Kacper Kania, Marek Kowalski, Tomasz Trzcinski","submitted_at":"2024-08-06T23:41:57Z","abstract_excerpt":"Decoupling lighting from geometry using unconstrained photo collections is notoriously challenging. Solving it would benefit many users as creating complex 3D assets takes days of manual labor. Many previous works have attempted to address this issue, often at the expense of output fidelity, which questions the practicality of such methods. We introduce LumiGauss - a technique that tackles 3D reconstruction of scenes and environmental lighting through 2D Gaussian Splatting. Our approach yields high-quality scene reconstructions and enables realistic lighting synthesis under novel environment m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.04474","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/2408.04474/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":"2408.04474","created_at":"2026-07-05T09:45:52.468223+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.04474v2","created_at":"2026-07-05T09:45:52.468223+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.04474","created_at":"2026-07-05T09:45:52.468223+00:00"},{"alias_kind":"pith_short_12","alias_value":"G647JMMDSOD6","created_at":"2026-07-05T09:45:52.468223+00:00"},{"alias_kind":"pith_short_16","alias_value":"G647JMMDSOD6XWPA","created_at":"2026-07-05T09:45:52.468223+00:00"},{"alias_kind":"pith_short_8","alias_value":"G647JMMD","created_at":"2026-07-05T09:45:52.468223+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.12498","citing_title":"Wavelet-GS: 3D Gaussian Splatting with Wavelet Decomposition","ref_index":13,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7","json":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7.json","graph_json":"https://pith.science/api/pith-number/G647JMMDSOD6XWPABJHA6UO3K7/graph.json","events_json":"https://pith.science/api/pith-number/G647JMMDSOD6XWPABJHA6UO3K7/events.json","paper":"https://pith.science/paper/G647JMMD"},"agent_actions":{"view_html":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7","download_json":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7.json","view_paper":"https://pith.science/paper/G647JMMD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.04474&json=true","fetch_graph":"https://pith.science/api/pith-number/G647JMMDSOD6XWPABJHA6UO3K7/graph.json","fetch_events":"https://pith.science/api/pith-number/G647JMMDSOD6XWPABJHA6UO3K7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7/action/storage_attestation","attest_author":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7/action/author_attestation","sign_citation":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7/action/citation_signature","submit_replication":"https://pith.science/pith/G647JMMDSOD6XWPABJHA6UO3K7/action/replication_record"}},"created_at":"2026-07-05T09:45:52.468223+00:00","updated_at":"2026-07-05T09:45:52.468223+00:00"}