{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:BWZ2IG7VWLCQLGHTOOVQH77HQA","short_pith_number":"pith:BWZ2IG7V","schema_version":"1.0","canonical_sha256":"0db3a41bf5b2c50598f373ab03ffe7802cd6256be893523df4f342e827bc5cc7","source":{"kind":"arxiv","id":"1801.05091","version":2},"attestation_state":"computed","paper":{"title":"Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dingdong Yang, Honglak Lee, Jongwook Choi, Seunghoon Hong","submitted_at":"2018-01-16T01:49:29Z","abstract_excerpt":"We propose a novel hierarchical approach for text-to-image synthesis by inferring semantic layout. Instead of learning a direct mapping from text to image, our algorithm decomposes the generation process into multiple steps, in which it first constructs a semantic layout from the text by the layout generator and converts the layout to an image by the image generator. The proposed layout generator progressively constructs a semantic layout in a coarse-to-fine manner by generating object bounding boxes and refining each box by estimating object shapes inside the box. The image generator synthesi"},"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":"1801.05091","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-16T01:49:29Z","cross_cats_sorted":[],"title_canon_sha256":"1fe9acd473f2beb47c637a963acd29ace771e0089b17202c2df9e54e04935515","abstract_canon_sha256":"2c09262817b5625c99cf58985c3eb24c5ac8bc6d3db5fe3932d5df09e6e99895"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:47.407545Z","signature_b64":"FXmNOdJvLbaY8ryz2l+wF0H6AvgkfuINHWmGqB62v7f1yWxvBaTTyxD9djrwh2518T1kWaQN7LmoZ/3L0R+5CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0db3a41bf5b2c50598f373ab03ffe7802cd6256be893523df4f342e827bc5cc7","last_reissued_at":"2026-05-18T00:09:47.407032Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:47.407032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dingdong Yang, Honglak Lee, Jongwook Choi, Seunghoon Hong","submitted_at":"2018-01-16T01:49:29Z","abstract_excerpt":"We propose a novel hierarchical approach for text-to-image synthesis by inferring semantic layout. Instead of learning a direct mapping from text to image, our algorithm decomposes the generation process into multiple steps, in which it first constructs a semantic layout from the text by the layout generator and converts the layout to an image by the image generator. The proposed layout generator progressively constructs a semantic layout in a coarse-to-fine manner by generating object bounding boxes and refining each box by estimating object shapes inside the box. The image generator synthesi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.05091","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":""},"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":"1801.05091","created_at":"2026-05-18T00:09:47.407112+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.05091v2","created_at":"2026-05-18T00:09:47.407112+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.05091","created_at":"2026-05-18T00:09:47.407112+00:00"},{"alias_kind":"pith_short_12","alias_value":"BWZ2IG7VWLCQ","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_16","alias_value":"BWZ2IG7VWLCQLGHT","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_8","alias_value":"BWZ2IG7V","created_at":"2026-05-18T12:32:16.446611+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/BWZ2IG7VWLCQLGHTOOVQH77HQA","json":"https://pith.science/pith/BWZ2IG7VWLCQLGHTOOVQH77HQA.json","graph_json":"https://pith.science/api/pith-number/BWZ2IG7VWLCQLGHTOOVQH77HQA/graph.json","events_json":"https://pith.science/api/pith-number/BWZ2IG7VWLCQLGHTOOVQH77HQA/events.json","paper":"https://pith.science/paper/BWZ2IG7V"},"agent_actions":{"view_html":"https://pith.science/pith/BWZ2IG7VWLCQLGHTOOVQH77HQA","download_json":"https://pith.science/pith/BWZ2IG7VWLCQLGHTOOVQH77HQA.json","view_paper":"https://pith.science/paper/BWZ2IG7V","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.05091&json=true","fetch_graph":"https://pith.science/api/pith-number/BWZ2IG7VWLCQLGHTOOVQH77HQA/graph.json","fetch_events":"https://pith.science/api/pith-number/BWZ2IG7VWLCQLGHTOOVQH77HQA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BWZ2IG7VWLCQLGHTOOVQH77HQA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BWZ2IG7VWLCQLGHTOOVQH77HQA/action/storage_attestation","attest_author":"https://pith.science/pith/BWZ2IG7VWLCQLGHTOOVQH77HQA/action/author_attestation","sign_citation":"https://pith.science/pith/BWZ2IG7VWLCQLGHTOOVQH77HQA/action/citation_signature","submit_replication":"https://pith.science/pith/BWZ2IG7VWLCQLGHTOOVQH77HQA/action/replication_record"}},"created_at":"2026-05-18T00:09:47.407112+00:00","updated_at":"2026-05-18T00:09:47.407112+00:00"}