{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:NBD744TQBLVR5OAI3AHXWN2ZGD","short_pith_number":"pith:NBD744TQ","schema_version":"1.0","canonical_sha256":"6847fe72700aeb1eb808d80f7b375930c51e4797e6f997bdd7c226d71266c467","source":{"kind":"arxiv","id":"2412.05325","version":1},"attestation_state":"computed","paper":{"title":"The Role of Text-to-Image Models in Advanced Style Transfer Applications: A Case Study with DALL-E 3","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Ebubechukwu Ike","submitted_at":"2024-12-04T11:41:25Z","abstract_excerpt":"While DALL-E 3 has gained popularity for its ability to generate creative and complex images from textual descriptions, its application in the domain of style transfer remains slightly underexplored. This project investigates the integration of DALL-E 3 with traditional neural style transfer techniques to assess the impact of generated style images on the quality of the final output. DALL-E 3 was employed to generate style images based on the descriptions provided and combine these with the Magenta Arbitrary Image Stylization model. This integration is evaluated through metrics such as the Str"},"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":"2412.05325","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-04T11:41:25Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e1f9024d9a796e6d2609d7f550e9a91766ac699c3d0fafdf6a8a5d5d84557ce6","abstract_canon_sha256":"9fb6616eec27dd18ad3536334f9fab60e76fcb2458ea892d653a7797d2e15c88"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:01.523697Z","signature_b64":"1yECwVcufUjeu/xvQgzeBDpFdIRa7R3w2T9KLC5Uy4ouzfmg5JTdO6I+2cHNA44groZy+M9bm+YeiP14UbcsDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6847fe72700aeb1eb808d80f7b375930c51e4797e6f997bdd7c226d71266c467","last_reissued_at":"2026-07-05T09:46:01.523367Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:01.523367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Role of Text-to-Image Models in Advanced Style Transfer Applications: A Case Study with DALL-E 3","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Ebubechukwu Ike","submitted_at":"2024-12-04T11:41:25Z","abstract_excerpt":"While DALL-E 3 has gained popularity for its ability to generate creative and complex images from textual descriptions, its application in the domain of style transfer remains slightly underexplored. This project investigates the integration of DALL-E 3 with traditional neural style transfer techniques to assess the impact of generated style images on the quality of the final output. DALL-E 3 was employed to generate style images based on the descriptions provided and combine these with the Magenta Arbitrary Image Stylization model. This integration is evaluated through metrics such as the Str"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05325","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/2412.05325/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":"2412.05325","created_at":"2026-07-05T09:46:01.523421+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.05325v1","created_at":"2026-07-05T09:46:01.523421+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05325","created_at":"2026-07-05T09:46:01.523421+00:00"},{"alias_kind":"pith_short_12","alias_value":"NBD744TQBLVR","created_at":"2026-07-05T09:46:01.523421+00:00"},{"alias_kind":"pith_short_16","alias_value":"NBD744TQBLVR5OAI","created_at":"2026-07-05T09:46:01.523421+00:00"},{"alias_kind":"pith_short_8","alias_value":"NBD744TQ","created_at":"2026-07-05T09:46:01.523421+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/NBD744TQBLVR5OAI3AHXWN2ZGD","json":"https://pith.science/pith/NBD744TQBLVR5OAI3AHXWN2ZGD.json","graph_json":"https://pith.science/api/pith-number/NBD744TQBLVR5OAI3AHXWN2ZGD/graph.json","events_json":"https://pith.science/api/pith-number/NBD744TQBLVR5OAI3AHXWN2ZGD/events.json","paper":"https://pith.science/paper/NBD744TQ"},"agent_actions":{"view_html":"https://pith.science/pith/NBD744TQBLVR5OAI3AHXWN2ZGD","download_json":"https://pith.science/pith/NBD744TQBLVR5OAI3AHXWN2ZGD.json","view_paper":"https://pith.science/paper/NBD744TQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.05325&json=true","fetch_graph":"https://pith.science/api/pith-number/NBD744TQBLVR5OAI3AHXWN2ZGD/graph.json","fetch_events":"https://pith.science/api/pith-number/NBD744TQBLVR5OAI3AHXWN2ZGD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NBD744TQBLVR5OAI3AHXWN2ZGD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NBD744TQBLVR5OAI3AHXWN2ZGD/action/storage_attestation","attest_author":"https://pith.science/pith/NBD744TQBLVR5OAI3AHXWN2ZGD/action/author_attestation","sign_citation":"https://pith.science/pith/NBD744TQBLVR5OAI3AHXWN2ZGD/action/citation_signature","submit_replication":"https://pith.science/pith/NBD744TQBLVR5OAI3AHXWN2ZGD/action/replication_record"}},"created_at":"2026-07-05T09:46:01.523421+00:00","updated_at":"2026-07-05T09:46:01.523421+00:00"}