{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:FLWMGNNES4SDYCDNQVXBXYUSNM","short_pith_number":"pith:FLWMGNNE","schema_version":"1.0","canonical_sha256":"2aecc335a497243c086d856e1be2926b3d9fa01b0faf8ca8b507c0892e3aa04e","source":{"kind":"arxiv","id":"2311.16737","version":2},"attestation_state":"computed","paper":{"title":"Point'n Move: Interactive Scene Object Manipulation on Gaussian Splatting Radiance Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongchuan Yu, Jiajun Huang","submitted_at":"2023-11-28T12:33:49Z","abstract_excerpt":"We propose Point'n Move, a method that achieves interactive scene object manipulation with exposed region inpainting. Interactivity here further comes from intuitive object selection and real-time editing. To achieve this, we adopt Gaussian Splatting Radiance Field as the scene representation and fully leverage its explicit nature and speed advantage. Its explicit representation formulation allows us to devise a 2D prompt points to 3D mask dual-stage self-prompting segmentation algorithm, perform mask refinement and merging, minimize change as well as provide good initialization for scene inpa"},"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":"2311.16737","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T12:33:49Z","cross_cats_sorted":[],"title_canon_sha256":"5d2608782831a7a820ef2ab7962655237144c4098c09d53a9935be46d25d17f3","abstract_canon_sha256":"299973f19f840bf9710eac9f69f7411615ef70e24512b6b436089b52fa8cb338"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:39:38.133746Z","signature_b64":"fMrmqNUSoh+obnyTcaD2R/m1KiZwcBM1PkDCmQEpKWLpHmYLzrB3ZX78Jc1xh1ribCnpMrq/AZS2cvX5u9q/DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2aecc335a497243c086d856e1be2926b3d9fa01b0faf8ca8b507c0892e3aa04e","last_reissued_at":"2026-07-05T11:39:38.133248Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:39:38.133248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Point'n Move: Interactive Scene Object Manipulation on Gaussian Splatting Radiance Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongchuan Yu, Jiajun Huang","submitted_at":"2023-11-28T12:33:49Z","abstract_excerpt":"We propose Point'n Move, a method that achieves interactive scene object manipulation with exposed region inpainting. Interactivity here further comes from intuitive object selection and real-time editing. To achieve this, we adopt Gaussian Splatting Radiance Field as the scene representation and fully leverage its explicit nature and speed advantage. Its explicit representation formulation allows us to devise a 2D prompt points to 3D mask dual-stage self-prompting segmentation algorithm, perform mask refinement and merging, minimize change as well as provide good initialization for scene inpa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16737","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/2311.16737/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":"2311.16737","created_at":"2026-07-05T11:39:38.133304+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.16737v2","created_at":"2026-07-05T11:39:38.133304+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16737","created_at":"2026-07-05T11:39:38.133304+00:00"},{"alias_kind":"pith_short_12","alias_value":"FLWMGNNES4SD","created_at":"2026-07-05T11:39:38.133304+00:00"},{"alias_kind":"pith_short_16","alias_value":"FLWMGNNES4SDYCDN","created_at":"2026-07-05T11:39:38.133304+00:00"},{"alias_kind":"pith_short_8","alias_value":"FLWMGNNE","created_at":"2026-07-05T11:39:38.133304+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2401.03890","citing_title":"A Survey on 3D Gaussian Splatting","ref_index":74,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM","json":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM.json","graph_json":"https://pith.science/api/pith-number/FLWMGNNES4SDYCDNQVXBXYUSNM/graph.json","events_json":"https://pith.science/api/pith-number/FLWMGNNES4SDYCDNQVXBXYUSNM/events.json","paper":"https://pith.science/paper/FLWMGNNE"},"agent_actions":{"view_html":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM","download_json":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM.json","view_paper":"https://pith.science/paper/FLWMGNNE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.16737&json=true","fetch_graph":"https://pith.science/api/pith-number/FLWMGNNES4SDYCDNQVXBXYUSNM/graph.json","fetch_events":"https://pith.science/api/pith-number/FLWMGNNES4SDYCDNQVXBXYUSNM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM/action/storage_attestation","attest_author":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM/action/author_attestation","sign_citation":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM/action/citation_signature","submit_replication":"https://pith.science/pith/FLWMGNNES4SDYCDNQVXBXYUSNM/action/replication_record"}},"created_at":"2026-07-05T11:39:38.133304+00:00","updated_at":"2026-07-05T11:39:38.133304+00:00"}