{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:UAC7UPX2L67Y7RX4JD66XDUT37","short_pith_number":"pith:UAC7UPX2","schema_version":"1.0","canonical_sha256":"a005fa3efa5fbf8fc6fc48fdeb8e93dfe767f08cf82318c485104acb23bf89fb","source":{"kind":"arxiv","id":"2112.03517","version":1},"attestation_state":"computed","paper":{"title":"CG-NeRF: Conditional Generative Neural Radiance Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Gyumin Shim, Jaegul Choo, Kyungmin Jo, Sanghun Jung, Soyoung Yang","submitted_at":"2021-12-07T05:57:58Z","abstract_excerpt":"While recent NeRF-based generative models achieve the generation of diverse 3D-aware images, these approaches have limitations when generating images that contain user-specified characteristics. In this paper, we propose a novel model, referred to as the conditional generative neural radiance fields (CG-NeRF), which can generate multi-view images reflecting extra input conditions such as images or texts. While preserving the common characteristics of a given input condition, the proposed model generates diverse images in fine detail. We propose: 1) a novel unified architecture which disentangl"},"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":"2112.03517","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-07T05:57:58Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"0e055e159dbef64720e1da919a6e6e4b4a9964e251f8d43c98da1746ae8644d6","abstract_canon_sha256":"b935c8cd2f7900bc689e4f303479678c0109033bdc732ff7025855c008fc97f1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:38:46.450681Z","signature_b64":"JK5RfIyTwKfCr4s9Dh1znGTq0pDBRe+vO5FISpMAo6rEd1pyqcodYITng/UM94jA1OC5pMIgMj+niftvOKNWCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a005fa3efa5fbf8fc6fc48fdeb8e93dfe767f08cf82318c485104acb23bf89fb","last_reissued_at":"2026-07-05T03:38:46.450215Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:38:46.450215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CG-NeRF: Conditional Generative Neural Radiance Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Gyumin Shim, Jaegul Choo, Kyungmin Jo, Sanghun Jung, Soyoung Yang","submitted_at":"2021-12-07T05:57:58Z","abstract_excerpt":"While recent NeRF-based generative models achieve the generation of diverse 3D-aware images, these approaches have limitations when generating images that contain user-specified characteristics. In this paper, we propose a novel model, referred to as the conditional generative neural radiance fields (CG-NeRF), which can generate multi-view images reflecting extra input conditions such as images or texts. While preserving the common characteristics of a given input condition, the proposed model generates diverse images in fine detail. We propose: 1) a novel unified architecture which disentangl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.03517","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/2112.03517/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":"2112.03517","created_at":"2026-07-05T03:38:46.450287+00:00"},{"alias_kind":"arxiv_version","alias_value":"2112.03517v1","created_at":"2026-07-05T03:38:46.450287+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.03517","created_at":"2026-07-05T03:38:46.450287+00:00"},{"alias_kind":"pith_short_12","alias_value":"UAC7UPX2L67Y","created_at":"2026-07-05T03:38:46.450287+00:00"},{"alias_kind":"pith_short_16","alias_value":"UAC7UPX2L67Y7RX4","created_at":"2026-07-05T03:38:46.450287+00:00"},{"alias_kind":"pith_short_8","alias_value":"UAC7UPX2","created_at":"2026-07-05T03:38:46.450287+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/UAC7UPX2L67Y7RX4JD66XDUT37","json":"https://pith.science/pith/UAC7UPX2L67Y7RX4JD66XDUT37.json","graph_json":"https://pith.science/api/pith-number/UAC7UPX2L67Y7RX4JD66XDUT37/graph.json","events_json":"https://pith.science/api/pith-number/UAC7UPX2L67Y7RX4JD66XDUT37/events.json","paper":"https://pith.science/paper/UAC7UPX2"},"agent_actions":{"view_html":"https://pith.science/pith/UAC7UPX2L67Y7RX4JD66XDUT37","download_json":"https://pith.science/pith/UAC7UPX2L67Y7RX4JD66XDUT37.json","view_paper":"https://pith.science/paper/UAC7UPX2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2112.03517&json=true","fetch_graph":"https://pith.science/api/pith-number/UAC7UPX2L67Y7RX4JD66XDUT37/graph.json","fetch_events":"https://pith.science/api/pith-number/UAC7UPX2L67Y7RX4JD66XDUT37/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UAC7UPX2L67Y7RX4JD66XDUT37/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UAC7UPX2L67Y7RX4JD66XDUT37/action/storage_attestation","attest_author":"https://pith.science/pith/UAC7UPX2L67Y7RX4JD66XDUT37/action/author_attestation","sign_citation":"https://pith.science/pith/UAC7UPX2L67Y7RX4JD66XDUT37/action/citation_signature","submit_replication":"https://pith.science/pith/UAC7UPX2L67Y7RX4JD66XDUT37/action/replication_record"}},"created_at":"2026-07-05T03:38:46.450287+00:00","updated_at":"2026-07-05T03:38:46.450287+00:00"}