{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:C2HB4BBILLNBVIPXLDODWSU7BE","short_pith_number":"pith:C2HB4BBI","schema_version":"1.0","canonical_sha256":"168e1e04285ada1aa1f758dc3b4a9f093846c8de11e290f907b40fbcbdc58050","source":{"kind":"arxiv","id":"2412.10051","version":1},"attestation_state":"computed","paper":{"title":"TSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Views","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hong Chen, Liang Zhao, Weifu Li, Yaohui Chen, Yi Xie, Zehan Bao","submitted_at":"2024-12-13T11:26:38Z","abstract_excerpt":"Recent advances in Gaussian Splatting have significantly advanced the field, achieving both panoptic and interactive segmentation of 3D scenes. However, existing methodologies often overlook the critical need for reconstructing specified targets with complex structures from sparse views. To address this issue, we introduce TSGaussian, a novel framework that combines semantic constraints with depth priors to avoid geometry degradation in challenging novel view synthesis tasks. Our approach prioritizes computational resources on designated targets while minimizing background allocation. Bounding"},"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":"2412.10051","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T11:26:38Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a30aee596bf4eee3fca40bdb720cc3a15594529409e071ede83e62903fdeb878","abstract_canon_sha256":"64620d5cf5bf639cd16c95746d48589581d41edd5caa24f11d4f2b4fe9a7200b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:48:46.284995Z","signature_b64":"mWzqv8YiBkZwUNz5DR1DgEJ7NoupWq9ywl3qlwSTHVWAOCYQq9UtLy5OAQmTDUORX/1QPLSDqyC2m4BGAKZvAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"168e1e04285ada1aa1f758dc3b4a9f093846c8de11e290f907b40fbcbdc58050","last_reissued_at":"2026-07-05T09:48:46.284552Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:48:46.284552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Views","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hong Chen, Liang Zhao, Weifu Li, Yaohui Chen, Yi Xie, Zehan Bao","submitted_at":"2024-12-13T11:26:38Z","abstract_excerpt":"Recent advances in Gaussian Splatting have significantly advanced the field, achieving both panoptic and interactive segmentation of 3D scenes. However, existing methodologies often overlook the critical need for reconstructing specified targets with complex structures from sparse views. To address this issue, we introduce TSGaussian, a novel framework that combines semantic constraints with depth priors to avoid geometry degradation in challenging novel view synthesis tasks. Our approach prioritizes computational resources on designated targets while minimizing background allocation. Bounding"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10051","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.10051/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":"2412.10051","created_at":"2026-07-05T09:48:46.284608+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.10051v1","created_at":"2026-07-05T09:48:46.284608+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10051","created_at":"2026-07-05T09:48:46.284608+00:00"},{"alias_kind":"pith_short_12","alias_value":"C2HB4BBILLNB","created_at":"2026-07-05T09:48:46.284608+00:00"},{"alias_kind":"pith_short_16","alias_value":"C2HB4BBILLNBVIPX","created_at":"2026-07-05T09:48:46.284608+00:00"},{"alias_kind":"pith_short_8","alias_value":"C2HB4BBI","created_at":"2026-07-05T09:48:46.284608+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/C2HB4BBILLNBVIPXLDODWSU7BE","json":"https://pith.science/pith/C2HB4BBILLNBVIPXLDODWSU7BE.json","graph_json":"https://pith.science/api/pith-number/C2HB4BBILLNBVIPXLDODWSU7BE/graph.json","events_json":"https://pith.science/api/pith-number/C2HB4BBILLNBVIPXLDODWSU7BE/events.json","paper":"https://pith.science/paper/C2HB4BBI"},"agent_actions":{"view_html":"https://pith.science/pith/C2HB4BBILLNBVIPXLDODWSU7BE","download_json":"https://pith.science/pith/C2HB4BBILLNBVIPXLDODWSU7BE.json","view_paper":"https://pith.science/paper/C2HB4BBI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.10051&json=true","fetch_graph":"https://pith.science/api/pith-number/C2HB4BBILLNBVIPXLDODWSU7BE/graph.json","fetch_events":"https://pith.science/api/pith-number/C2HB4BBILLNBVIPXLDODWSU7BE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/C2HB4BBILLNBVIPXLDODWSU7BE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/C2HB4BBILLNBVIPXLDODWSU7BE/action/storage_attestation","attest_author":"https://pith.science/pith/C2HB4BBILLNBVIPXLDODWSU7BE/action/author_attestation","sign_citation":"https://pith.science/pith/C2HB4BBILLNBVIPXLDODWSU7BE/action/citation_signature","submit_replication":"https://pith.science/pith/C2HB4BBILLNBVIPXLDODWSU7BE/action/replication_record"}},"created_at":"2026-07-05T09:48:46.284608+00:00","updated_at":"2026-07-05T09:48:46.284608+00:00"}