{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:PE65JKD733H6BBXFSX6OKK7VBA","short_pith_number":"pith:PE65JKD7","schema_version":"1.0","canonical_sha256":"793dd4a87fdecfe086e595fce52bf5080bdf47404fc729f09988578ae8cfd073","source":{"kind":"arxiv","id":"1804.06092","version":1},"attestation_state":"computed","paper":{"title":"Normal Image Manipulation for Bas-relief Generation with Hybrid Styles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Weiyin Ma, Xianfang Sun, Zhongping Ji","submitted_at":"2018-04-17T08:00:52Z","abstract_excerpt":"We introduce a normal-based bas-relief generation and stylization method which is motivated by the recent advancement in this topic. Creating bas-relief from normal images has successfully facilitated bas-relief modeling in image space. However, the use of normal images in previous work is often restricted to certain type of operations only. This paper is intended to extend normal-based methods and construct bas-reliefs from normal images in a versatile way. Our method can not only generate a new normal image by combining various frequencies of existing normal images and details transferring, "},"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":"1804.06092","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2018-04-17T08:00:52Z","cross_cats_sorted":[],"title_canon_sha256":"fa473cd1e239b728ddd45cffc1d00df21fbb991bf418b2f46673defe897c102f","abstract_canon_sha256":"bc9cbbdfdb7b5df390ac164e6251d52af8f4bd712ab412738e63058bdb2d0090"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:21.738351Z","signature_b64":"VDE6gJ2b3sQeXL+0Ro9HghP+oU8Ve4zqP9n0D6I2B3QCGwG58SGRYkyr4LhFOzLd1cEOdKDxYgqJ2zfCPXoLBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"793dd4a87fdecfe086e595fce52bf5080bdf47404fc729f09988578ae8cfd073","last_reissued_at":"2026-05-18T00:18:21.737779Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:21.737779Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Normal Image Manipulation for Bas-relief Generation with Hybrid Styles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Weiyin Ma, Xianfang Sun, Zhongping Ji","submitted_at":"2018-04-17T08:00:52Z","abstract_excerpt":"We introduce a normal-based bas-relief generation and stylization method which is motivated by the recent advancement in this topic. Creating bas-relief from normal images has successfully facilitated bas-relief modeling in image space. However, the use of normal images in previous work is often restricted to certain type of operations only. This paper is intended to extend normal-based methods and construct bas-reliefs from normal images in a versatile way. Our method can not only generate a new normal image by combining various frequencies of existing normal images and details transferring, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.06092","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":""},"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":"1804.06092","created_at":"2026-05-18T00:18:21.737859+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.06092v1","created_at":"2026-05-18T00:18:21.737859+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.06092","created_at":"2026-05-18T00:18:21.737859+00:00"},{"alias_kind":"pith_short_12","alias_value":"PE65JKD733H6","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_16","alias_value":"PE65JKD733H6BBXF","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_8","alias_value":"PE65JKD7","created_at":"2026-05-18T12:32:43.782077+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/PE65JKD733H6BBXFSX6OKK7VBA","json":"https://pith.science/pith/PE65JKD733H6BBXFSX6OKK7VBA.json","graph_json":"https://pith.science/api/pith-number/PE65JKD733H6BBXFSX6OKK7VBA/graph.json","events_json":"https://pith.science/api/pith-number/PE65JKD733H6BBXFSX6OKK7VBA/events.json","paper":"https://pith.science/paper/PE65JKD7"},"agent_actions":{"view_html":"https://pith.science/pith/PE65JKD733H6BBXFSX6OKK7VBA","download_json":"https://pith.science/pith/PE65JKD733H6BBXFSX6OKK7VBA.json","view_paper":"https://pith.science/paper/PE65JKD7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.06092&json=true","fetch_graph":"https://pith.science/api/pith-number/PE65JKD733H6BBXFSX6OKK7VBA/graph.json","fetch_events":"https://pith.science/api/pith-number/PE65JKD733H6BBXFSX6OKK7VBA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PE65JKD733H6BBXFSX6OKK7VBA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PE65JKD733H6BBXFSX6OKK7VBA/action/storage_attestation","attest_author":"https://pith.science/pith/PE65JKD733H6BBXFSX6OKK7VBA/action/author_attestation","sign_citation":"https://pith.science/pith/PE65JKD733H6BBXFSX6OKK7VBA/action/citation_signature","submit_replication":"https://pith.science/pith/PE65JKD733H6BBXFSX6OKK7VBA/action/replication_record"}},"created_at":"2026-05-18T00:18:21.737859+00:00","updated_at":"2026-05-18T00:18:21.737859+00:00"}