{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:I6SJQIFPSLKXS6BQQ56PSCRTWI","short_pith_number":"pith:I6SJQIFP","schema_version":"1.0","canonical_sha256":"47a49820af92d5797830877cf90a33b232a248f5582edc31584dd1b5cf5f121d","source":{"kind":"arxiv","id":"2412.00518","version":1},"attestation_state":"computed","paper":{"title":"Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Amir Barda, Amit H. Bermano, Matheus Gadelha, Noam Aigerman, Thibault Groueix, Vladimir G. Kim","submitted_at":"2024-11-30T15:58:33Z","abstract_excerpt":"We propose a generative technique to edit 3D shapes, represented as meshes, NeRFs, or Gaussian Splats, in approximately 3 seconds, without the need for running an SDS type of optimization. Our key insight is to cast 3D editing as a multiview image inpainting problem, as this representation is generic and can be mapped back to any 3D representation using the bank of available Large Reconstruction Models. We explore different fine-tuning strategies to obtain both multiview generation and inpainting capabilities within the same diffusion model. In particular, the design of the inpainting mask is "},"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":"2412.00518","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-30T15:58:33Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"a617e5ece6c3dab25e2c0661b206ecfba4de5e524d23c0d8e6f437fe01d1df7b","abstract_canon_sha256":"3c7475d36eaefb58a62625e58734eb4d10664a5fae61ce8ba15388d793915340"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:42:42.946216Z","signature_b64":"O1ZjlgNFh5+0tk/pYvLJ/kY9zTdhA8qw2dp0SyQ7yS8YReLTUkUT6KE+S9y+Uu1HxB7qvQdqML6rTlmVYh9nBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47a49820af92d5797830877cf90a33b232a248f5582edc31584dd1b5cf5f121d","last_reissued_at":"2026-07-05T09:42:42.945688Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:42:42.945688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Amir Barda, Amit H. Bermano, Matheus Gadelha, Noam Aigerman, Thibault Groueix, Vladimir G. Kim","submitted_at":"2024-11-30T15:58:33Z","abstract_excerpt":"We propose a generative technique to edit 3D shapes, represented as meshes, NeRFs, or Gaussian Splats, in approximately 3 seconds, without the need for running an SDS type of optimization. Our key insight is to cast 3D editing as a multiview image inpainting problem, as this representation is generic and can be mapped back to any 3D representation using the bank of available Large Reconstruction Models. We explore different fine-tuning strategies to obtain both multiview generation and inpainting capabilities within the same diffusion model. In particular, the design of the inpainting mask is "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00518","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/2412.00518/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":"2412.00518","created_at":"2026-07-05T09:42:42.945754+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.00518v1","created_at":"2026-07-05T09:42:42.945754+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00518","created_at":"2026-07-05T09:42:42.945754+00:00"},{"alias_kind":"pith_short_12","alias_value":"I6SJQIFPSLKX","created_at":"2026-07-05T09:42:42.945754+00:00"},{"alias_kind":"pith_short_16","alias_value":"I6SJQIFPSLKXS6BQ","created_at":"2026-07-05T09:42:42.945754+00:00"},{"alias_kind":"pith_short_8","alias_value":"I6SJQIFP","created_at":"2026-07-05T09:42:42.945754+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.23514","citing_title":"Arbor: Explicit Geometric Conditioning for Controllable 3D Asset Generation","ref_index":1,"is_internal_anchor":false},{"citing_arxiv_id":"2605.16990","citing_title":"DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editing","ref_index":3,"is_internal_anchor":false},{"citing_arxiv_id":"2604.05436","citing_title":"Human Interaction-Aware 3D Reconstruction from a Single Image","ref_index":2,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI","json":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI.json","graph_json":"https://pith.science/api/pith-number/I6SJQIFPSLKXS6BQQ56PSCRTWI/graph.json","events_json":"https://pith.science/api/pith-number/I6SJQIFPSLKXS6BQQ56PSCRTWI/events.json","paper":"https://pith.science/paper/I6SJQIFP"},"agent_actions":{"view_html":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI","download_json":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI.json","view_paper":"https://pith.science/paper/I6SJQIFP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.00518&json=true","fetch_graph":"https://pith.science/api/pith-number/I6SJQIFPSLKXS6BQQ56PSCRTWI/graph.json","fetch_events":"https://pith.science/api/pith-number/I6SJQIFPSLKXS6BQQ56PSCRTWI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI/action/storage_attestation","attest_author":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI/action/author_attestation","sign_citation":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI/action/citation_signature","submit_replication":"https://pith.science/pith/I6SJQIFPSLKXS6BQQ56PSCRTWI/action/replication_record"}},"created_at":"2026-07-05T09:42:42.945754+00:00","updated_at":"2026-07-05T09:42:42.945754+00:00"}