{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:WOIQYDIXHLUXUGUEKDYDDYSG2V","short_pith_number":"pith:WOIQYDIX","schema_version":"1.0","canonical_sha256":"b3910c0d173ae97a1a8450f031e246d55b23ddd747256fa65c292c3105836a85","source":{"kind":"arxiv","id":"2412.03407","version":1},"attestation_state":"computed","paper":{"title":"Skel3D: Skeleton Guided Novel View Synthesis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aron F\\'othi, Bence Fazekas, Kristian Fenech, Natabara M\\'at\\'e Gy\\\"ongy\\\"ossy","submitted_at":"2024-12-04T15:45:20Z","abstract_excerpt":"In this paper, we present an approach for monocular open-set novel view synthesis (NVS) that leverages object skeletons to guide the underlying diffusion model. Building upon a baseline that utilizes a pre-trained 2D image generator, our method takes advantage of the Objaverse dataset, which includes animated objects with bone structures. By introducing a skeleton guide layer following the existing ray conditioning normalization (RCN) layer, our approach enhances pose accuracy and multi-view consistency. The skeleton guide layer provides detailed structural information for the generative model"},"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":"2412.03407","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-04T15:45:20Z","cross_cats_sorted":[],"title_canon_sha256":"aa857519a59134e52986ae1d83bb5bde9f7d3045a367aa2f24322728387d340b","abstract_canon_sha256":"99fce40638331bfe55136464ee8396023b14d28d45723b0a23ac8c595b71b6a1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:28.956604Z","signature_b64":"OyUtzpPoiX+E54eg6/Mm+pys1GMR8R/ycxEVkLaYK2jn4UrJRqcN7W1M8D7A9JgQJAYIhbGFBXqnXEkqc9MnCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3910c0d173ae97a1a8450f031e246d55b23ddd747256fa65c292c3105836a85","last_reissued_at":"2026-07-05T09:44:28.956111Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:28.956111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Skel3D: Skeleton Guided Novel View Synthesis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aron F\\'othi, Bence Fazekas, Kristian Fenech, Natabara M\\'at\\'e Gy\\\"ongy\\\"ossy","submitted_at":"2024-12-04T15:45:20Z","abstract_excerpt":"In this paper, we present an approach for monocular open-set novel view synthesis (NVS) that leverages object skeletons to guide the underlying diffusion model. Building upon a baseline that utilizes a pre-trained 2D image generator, our method takes advantage of the Objaverse dataset, which includes animated objects with bone structures. By introducing a skeleton guide layer following the existing ray conditioning normalization (RCN) layer, our approach enhances pose accuracy and multi-view consistency. The skeleton guide layer provides detailed structural information for the generative model"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03407","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/2412.03407/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":"2412.03407","created_at":"2026-07-05T09:44:28.956170+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.03407v1","created_at":"2026-07-05T09:44:28.956170+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03407","created_at":"2026-07-05T09:44:28.956170+00:00"},{"alias_kind":"pith_short_12","alias_value":"WOIQYDIXHLUX","created_at":"2026-07-05T09:44:28.956170+00:00"},{"alias_kind":"pith_short_16","alias_value":"WOIQYDIXHLUXUGUE","created_at":"2026-07-05T09:44:28.956170+00:00"},{"alias_kind":"pith_short_8","alias_value":"WOIQYDIX","created_at":"2026-07-05T09:44:28.956170+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/WOIQYDIXHLUXUGUEKDYDDYSG2V","json":"https://pith.science/pith/WOIQYDIXHLUXUGUEKDYDDYSG2V.json","graph_json":"https://pith.science/api/pith-number/WOIQYDIXHLUXUGUEKDYDDYSG2V/graph.json","events_json":"https://pith.science/api/pith-number/WOIQYDIXHLUXUGUEKDYDDYSG2V/events.json","paper":"https://pith.science/paper/WOIQYDIX"},"agent_actions":{"view_html":"https://pith.science/pith/WOIQYDIXHLUXUGUEKDYDDYSG2V","download_json":"https://pith.science/pith/WOIQYDIXHLUXUGUEKDYDDYSG2V.json","view_paper":"https://pith.science/paper/WOIQYDIX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.03407&json=true","fetch_graph":"https://pith.science/api/pith-number/WOIQYDIXHLUXUGUEKDYDDYSG2V/graph.json","fetch_events":"https://pith.science/api/pith-number/WOIQYDIXHLUXUGUEKDYDDYSG2V/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WOIQYDIXHLUXUGUEKDYDDYSG2V/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WOIQYDIXHLUXUGUEKDYDDYSG2V/action/storage_attestation","attest_author":"https://pith.science/pith/WOIQYDIXHLUXUGUEKDYDDYSG2V/action/author_attestation","sign_citation":"https://pith.science/pith/WOIQYDIXHLUXUGUEKDYDDYSG2V/action/citation_signature","submit_replication":"https://pith.science/pith/WOIQYDIXHLUXUGUEKDYDDYSG2V/action/replication_record"}},"created_at":"2026-07-05T09:44:28.956170+00:00","updated_at":"2026-07-05T09:44:28.956170+00:00"}