{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:5UYH3BNNF2DPC54EKCU4VXJDWU","short_pith_number":"pith:5UYH3BNN","schema_version":"1.0","canonical_sha256":"ed307d85ad2e86f1778450a9cadd23b5344a971d5afe32b960f2383c414a3feb","source":{"kind":"arxiv","id":"2411.00399","version":1},"attestation_state":"computed","paper":{"title":"StyleTex: Style Image-Guided Texture Generation for 3D Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Dehan Chen, Gongsheng Li, Xaogang Jin, Xiangjun Tang, Yiqian Wu, Yuqing Zhang, Zhiyu Xie","submitted_at":"2024-11-01T06:57:04Z","abstract_excerpt":"Style-guided texture generation aims to generate a texture that is harmonious with both the style of the reference image and the geometry of the input mesh, given a reference style image and a 3D mesh with its text description. Although diffusion-based 3D texture generation methods, such as distillation sampling, have numerous promising applications in stylized games and films, it requires addressing two challenges: 1) decouple style and content completely from the reference image for 3D models, and 2) align the generated texture with the color tone, style of the reference image, and the given"},"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":"2411.00399","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-01T06:57:04Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"e07427a3d43cb4221259d5930a4285c991e74d4ddc53c521265eb15d394fa4f7","abstract_canon_sha256":"d4a523e02f3d3b3d11f21f2668ab545e70f1a3e9fd004996b28439d9ae0a5fe5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:29:41.923299Z","signature_b64":"edmIJ9gF+d6PB+N7Ug1fMsWfP8Xdje+syW4o33RBrbWbHpbLejagm2XsrULIcsD83K/ObkjHMytQDVNPzWJYBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed307d85ad2e86f1778450a9cadd23b5344a971d5afe32b960f2383c414a3feb","last_reissued_at":"2026-07-05T09:29:41.922860Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:29:41.922860Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"StyleTex: Style Image-Guided Texture Generation for 3D Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Dehan Chen, Gongsheng Li, Xaogang Jin, Xiangjun Tang, Yiqian Wu, Yuqing Zhang, Zhiyu Xie","submitted_at":"2024-11-01T06:57:04Z","abstract_excerpt":"Style-guided texture generation aims to generate a texture that is harmonious with both the style of the reference image and the geometry of the input mesh, given a reference style image and a 3D mesh with its text description. Although diffusion-based 3D texture generation methods, such as distillation sampling, have numerous promising applications in stylized games and films, it requires addressing two challenges: 1) decouple style and content completely from the reference image for 3D models, and 2) align the generated texture with the color tone, style of the reference image, and the given"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.00399","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/2411.00399/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":"2411.00399","created_at":"2026-07-05T09:29:41.922914+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.00399v1","created_at":"2026-07-05T09:29:41.922914+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.00399","created_at":"2026-07-05T09:29:41.922914+00:00"},{"alias_kind":"pith_short_12","alias_value":"5UYH3BNNF2DP","created_at":"2026-07-05T09:29:41.922914+00:00"},{"alias_kind":"pith_short_16","alias_value":"5UYH3BNNF2DPC54E","created_at":"2026-07-05T09:29:41.922914+00:00"},{"alias_kind":"pith_short_8","alias_value":"5UYH3BNN","created_at":"2026-07-05T09:29:41.922914+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/5UYH3BNNF2DPC54EKCU4VXJDWU","json":"https://pith.science/pith/5UYH3BNNF2DPC54EKCU4VXJDWU.json","graph_json":"https://pith.science/api/pith-number/5UYH3BNNF2DPC54EKCU4VXJDWU/graph.json","events_json":"https://pith.science/api/pith-number/5UYH3BNNF2DPC54EKCU4VXJDWU/events.json","paper":"https://pith.science/paper/5UYH3BNN"},"agent_actions":{"view_html":"https://pith.science/pith/5UYH3BNNF2DPC54EKCU4VXJDWU","download_json":"https://pith.science/pith/5UYH3BNNF2DPC54EKCU4VXJDWU.json","view_paper":"https://pith.science/paper/5UYH3BNN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.00399&json=true","fetch_graph":"https://pith.science/api/pith-number/5UYH3BNNF2DPC54EKCU4VXJDWU/graph.json","fetch_events":"https://pith.science/api/pith-number/5UYH3BNNF2DPC54EKCU4VXJDWU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5UYH3BNNF2DPC54EKCU4VXJDWU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5UYH3BNNF2DPC54EKCU4VXJDWU/action/storage_attestation","attest_author":"https://pith.science/pith/5UYH3BNNF2DPC54EKCU4VXJDWU/action/author_attestation","sign_citation":"https://pith.science/pith/5UYH3BNNF2DPC54EKCU4VXJDWU/action/citation_signature","submit_replication":"https://pith.science/pith/5UYH3BNNF2DPC54EKCU4VXJDWU/action/replication_record"}},"created_at":"2026-07-05T09:29:41.922914+00:00","updated_at":"2026-07-05T09:29:41.922914+00:00"}