{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:DR3Q46XPAP4IERNSTYL64TEELJ","short_pith_number":"pith:DR3Q46XP","schema_version":"1.0","canonical_sha256":"1c770e7aef03f88245b29e17ee4c845a641118ac4f80a38cdd004eb8cd44dcec","source":{"kind":"arxiv","id":"2308.05976","version":1},"attestation_state":"computed","paper":{"title":"Zero-shot Text-driven Physically Interpretable Face Editing","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lincheng Li, Rui Zhao, Songru Yang, Xu Hu, Yapeng Meng, Zhengxia Zou, Zhenwei Shi","submitted_at":"2023-08-11T07:20:24Z","abstract_excerpt":"This paper proposes a novel and physically interpretable method for face editing based on arbitrary text prompts. Different from previous GAN-inversion-based face editing methods that manipulate the latent space of GANs, or diffusion-based methods that model image manipulation as a reverse diffusion process, we regard the face editing process as imposing vector flow fields on face images, representing the offset of spatial coordinates and color for each image pixel. Under the above-proposed paradigm, we represent the vector flow field in two ways: 1) explicitly represent the flow vectors with "},"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":"2308.05976","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-11T07:20:24Z","cross_cats_sorted":[],"title_canon_sha256":"678c06e61da61915b578aba1554ddaf7222a9ec1d6316a63b8169c985835261f","abstract_canon_sha256":"d5c8a2c7d028ddb640c9557288fb22bcfd3718f3b1a8d6e91400bdfbb58de906"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:40:21.476799Z","signature_b64":"X1AIzZEUY9utMVoJaNPQAZpfjuYBU18xGfDkqU/hkkZxDEqxJKQnMN0F7riJTEvNzCPlYnMAruQQtfJVAA7cCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c770e7aef03f88245b29e17ee4c845a641118ac4f80a38cdd004eb8cd44dcec","last_reissued_at":"2026-07-05T06:40:21.476356Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:40:21.476356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Zero-shot Text-driven Physically Interpretable Face Editing","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lincheng Li, Rui Zhao, Songru Yang, Xu Hu, Yapeng Meng, Zhengxia Zou, Zhenwei Shi","submitted_at":"2023-08-11T07:20:24Z","abstract_excerpt":"This paper proposes a novel and physically interpretable method for face editing based on arbitrary text prompts. Different from previous GAN-inversion-based face editing methods that manipulate the latent space of GANs, or diffusion-based methods that model image manipulation as a reverse diffusion process, we regard the face editing process as imposing vector flow fields on face images, representing the offset of spatial coordinates and color for each image pixel. Under the above-proposed paradigm, we represent the vector flow field in two ways: 1) explicitly represent the flow vectors with "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.05976","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/2308.05976/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":"2308.05976","created_at":"2026-07-05T06:40:21.476421+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.05976v1","created_at":"2026-07-05T06:40:21.476421+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.05976","created_at":"2026-07-05T06:40:21.476421+00:00"},{"alias_kind":"pith_short_12","alias_value":"DR3Q46XPAP4I","created_at":"2026-07-05T06:40:21.476421+00:00"},{"alias_kind":"pith_short_16","alias_value":"DR3Q46XPAP4IERNS","created_at":"2026-07-05T06:40:21.476421+00:00"},{"alias_kind":"pith_short_8","alias_value":"DR3Q46XP","created_at":"2026-07-05T06:40:21.476421+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/DR3Q46XPAP4IERNSTYL64TEELJ","json":"https://pith.science/pith/DR3Q46XPAP4IERNSTYL64TEELJ.json","graph_json":"https://pith.science/api/pith-number/DR3Q46XPAP4IERNSTYL64TEELJ/graph.json","events_json":"https://pith.science/api/pith-number/DR3Q46XPAP4IERNSTYL64TEELJ/events.json","paper":"https://pith.science/paper/DR3Q46XP"},"agent_actions":{"view_html":"https://pith.science/pith/DR3Q46XPAP4IERNSTYL64TEELJ","download_json":"https://pith.science/pith/DR3Q46XPAP4IERNSTYL64TEELJ.json","view_paper":"https://pith.science/paper/DR3Q46XP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.05976&json=true","fetch_graph":"https://pith.science/api/pith-number/DR3Q46XPAP4IERNSTYL64TEELJ/graph.json","fetch_events":"https://pith.science/api/pith-number/DR3Q46XPAP4IERNSTYL64TEELJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DR3Q46XPAP4IERNSTYL64TEELJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DR3Q46XPAP4IERNSTYL64TEELJ/action/storage_attestation","attest_author":"https://pith.science/pith/DR3Q46XPAP4IERNSTYL64TEELJ/action/author_attestation","sign_citation":"https://pith.science/pith/DR3Q46XPAP4IERNSTYL64TEELJ/action/citation_signature","submit_replication":"https://pith.science/pith/DR3Q46XPAP4IERNSTYL64TEELJ/action/replication_record"}},"created_at":"2026-07-05T06:40:21.476421+00:00","updated_at":"2026-07-05T06:40:21.476421+00:00"}