{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:NU4CSHHZVTYATV5DZVL2CTXDID","short_pith_number":"pith:NU4CSHHZ","schema_version":"1.0","canonical_sha256":"6d38291cf9acf009d7a3cd57a14ee340ffb15cc9383cbd29eb5ac11f76a2af07","source":{"kind":"arxiv","id":"2311.12050","version":5},"attestation_state":"computed","paper":{"title":"3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haolin Shi, Haoran Li, Lechao Cheng, Long Ma, Pengyuan Zhou, Yanbin Hao, Yong Liao","submitted_at":"2023-11-18T09:55:56Z","abstract_excerpt":"The current GAN inversion methods typically can only edit the appearance and shape of a single object and background while overlooking spatial information. In this work, we propose a 3D editing framework, 3D-GOI, to enable multifaceted editing of affine information (scale, translation, and rotation) on multiple objects. 3D-GOI realizes the complex editing function by inverting the abundance of attribute codes (object shape/appearance/scale/rotation/translation, background shape/appearance, and camera pose) controlled by GIRAFFE, a renowned 3D GAN. Accurately inverting all the codes is challeng"},"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":"2311.12050","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T09:55:56Z","cross_cats_sorted":[],"title_canon_sha256":"3c838567c3ac7ec52961101964f91cbae9111b9cf08f1a9e8fb142aa836529b7","abstract_canon_sha256":"1c57f2b3da305ca7fd069b756563a8a680844b1adbd3ea9cc74473e9b0588d20"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:08.742109Z","signature_b64":"OZFOJ9sAr+rdkPPv4WUj7NuWzRRtxuN2HwPYRLiocuoBHTKRJJTCEdtUpn/LDbKKrkOjdpx85q32rtS31nZCDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d38291cf9acf009d7a3cd57a14ee340ffb15cc9383cbd29eb5ac11f76a2af07","last_reissued_at":"2026-07-05T08:47:08.741613Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:08.741613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haolin Shi, Haoran Li, Lechao Cheng, Long Ma, Pengyuan Zhou, Yanbin Hao, Yong Liao","submitted_at":"2023-11-18T09:55:56Z","abstract_excerpt":"The current GAN inversion methods typically can only edit the appearance and shape of a single object and background while overlooking spatial information. In this work, we propose a 3D editing framework, 3D-GOI, to enable multifaceted editing of affine information (scale, translation, and rotation) on multiple objects. 3D-GOI realizes the complex editing function by inverting the abundance of attribute codes (object shape/appearance/scale/rotation/translation, background shape/appearance, and camera pose) controlled by GIRAFFE, a renowned 3D GAN. Accurately inverting all the codes is challeng"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.12050","kind":"arxiv","version":5},"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/2311.12050/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":"2311.12050","created_at":"2026-07-05T08:47:08.741671+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.12050v5","created_at":"2026-07-05T08:47:08.741671+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.12050","created_at":"2026-07-05T08:47:08.741671+00:00"},{"alias_kind":"pith_short_12","alias_value":"NU4CSHHZVTYA","created_at":"2026-07-05T08:47:08.741671+00:00"},{"alias_kind":"pith_short_16","alias_value":"NU4CSHHZVTYATV5D","created_at":"2026-07-05T08:47:08.741671+00:00"},{"alias_kind":"pith_short_8","alias_value":"NU4CSHHZ","created_at":"2026-07-05T08:47:08.741671+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/NU4CSHHZVTYATV5DZVL2CTXDID","json":"https://pith.science/pith/NU4CSHHZVTYATV5DZVL2CTXDID.json","graph_json":"https://pith.science/api/pith-number/NU4CSHHZVTYATV5DZVL2CTXDID/graph.json","events_json":"https://pith.science/api/pith-number/NU4CSHHZVTYATV5DZVL2CTXDID/events.json","paper":"https://pith.science/paper/NU4CSHHZ"},"agent_actions":{"view_html":"https://pith.science/pith/NU4CSHHZVTYATV5DZVL2CTXDID","download_json":"https://pith.science/pith/NU4CSHHZVTYATV5DZVL2CTXDID.json","view_paper":"https://pith.science/paper/NU4CSHHZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.12050&json=true","fetch_graph":"https://pith.science/api/pith-number/NU4CSHHZVTYATV5DZVL2CTXDID/graph.json","fetch_events":"https://pith.science/api/pith-number/NU4CSHHZVTYATV5DZVL2CTXDID/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NU4CSHHZVTYATV5DZVL2CTXDID/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NU4CSHHZVTYATV5DZVL2CTXDID/action/storage_attestation","attest_author":"https://pith.science/pith/NU4CSHHZVTYATV5DZVL2CTXDID/action/author_attestation","sign_citation":"https://pith.science/pith/NU4CSHHZVTYATV5DZVL2CTXDID/action/citation_signature","submit_replication":"https://pith.science/pith/NU4CSHHZVTYATV5DZVL2CTXDID/action/replication_record"}},"created_at":"2026-07-05T08:47:08.741671+00:00","updated_at":"2026-07-05T08:47:08.741671+00:00"}