{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:VAWUSBX5BBX5NDGFSSJBBYXCLU","short_pith_number":"pith:VAWUSBX5","schema_version":"1.0","canonical_sha256":"a82d4906fd086fd68cc5949210e2e25d223461caab212cb5747f0635507f7241","source":{"kind":"arxiv","id":"2303.13133","version":1},"attestation_state":"computed","paper":{"title":"Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ailin Li, Dongming Lu, Jiafu Chen, Lei Zhao, Wei Xing, Zhanjie Zhang, Zhiwen Zuo, Zhizhong Wang","submitted_at":"2023-03-23T09:34:17Z","abstract_excerpt":"This paper presents a new adversarial training framework for image inpainting with segmentation confusion adversarial training (SCAT) and contrastive learning. SCAT plays an adversarial game between an inpainting generator and a segmentation network, which provides pixel-level local training signals and can adapt to images with free-form holes. By combining SCAT with standard global adversarial training, the new adversarial training framework exhibits the following three advantages simultaneously: (1) the global consistency of the repaired image, (2) the local fine texture details of the repai"},"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":"2303.13133","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-23T09:34:17Z","cross_cats_sorted":[],"title_canon_sha256":"bd4519d232170f9fcacddcc6d6cc32bb448710092a15651e4c37ca9c6c9b6c77","abstract_canon_sha256":"d956b5e4e5b1e52ffaf24f64d47105036e9570ad1992d68ecd7be309a6287131"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:41:47.927468Z","signature_b64":"DvF9kNxKI9qPEf/fP/Nwnv2YShqwb96buXLpJpdnFZGOR+vvH+tNVgww725RNneWWLv9KgTAZi3Oco9WfueQBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a82d4906fd086fd68cc5949210e2e25d223461caab212cb5747f0635507f7241","last_reissued_at":"2026-07-05T06:41:47.926963Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:41:47.926963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ailin Li, Dongming Lu, Jiafu Chen, Lei Zhao, Wei Xing, Zhanjie Zhang, Zhiwen Zuo, Zhizhong Wang","submitted_at":"2023-03-23T09:34:17Z","abstract_excerpt":"This paper presents a new adversarial training framework for image inpainting with segmentation confusion adversarial training (SCAT) and contrastive learning. SCAT plays an adversarial game between an inpainting generator and a segmentation network, which provides pixel-level local training signals and can adapt to images with free-form holes. By combining SCAT with standard global adversarial training, the new adversarial training framework exhibits the following three advantages simultaneously: (1) the global consistency of the repaired image, (2) the local fine texture details of the repai"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.13133","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/2303.13133/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":"2303.13133","created_at":"2026-07-05T06:41:47.927022+00:00"},{"alias_kind":"arxiv_version","alias_value":"2303.13133v1","created_at":"2026-07-05T06:41:47.927022+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.13133","created_at":"2026-07-05T06:41:47.927022+00:00"},{"alias_kind":"pith_short_12","alias_value":"VAWUSBX5BBX5","created_at":"2026-07-05T06:41:47.927022+00:00"},{"alias_kind":"pith_short_16","alias_value":"VAWUSBX5BBX5NDGF","created_at":"2026-07-05T06:41:47.927022+00:00"},{"alias_kind":"pith_short_8","alias_value":"VAWUSBX5","created_at":"2026-07-05T06:41:47.927022+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/VAWUSBX5BBX5NDGFSSJBBYXCLU","json":"https://pith.science/pith/VAWUSBX5BBX5NDGFSSJBBYXCLU.json","graph_json":"https://pith.science/api/pith-number/VAWUSBX5BBX5NDGFSSJBBYXCLU/graph.json","events_json":"https://pith.science/api/pith-number/VAWUSBX5BBX5NDGFSSJBBYXCLU/events.json","paper":"https://pith.science/paper/VAWUSBX5"},"agent_actions":{"view_html":"https://pith.science/pith/VAWUSBX5BBX5NDGFSSJBBYXCLU","download_json":"https://pith.science/pith/VAWUSBX5BBX5NDGFSSJBBYXCLU.json","view_paper":"https://pith.science/paper/VAWUSBX5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2303.13133&json=true","fetch_graph":"https://pith.science/api/pith-number/VAWUSBX5BBX5NDGFSSJBBYXCLU/graph.json","fetch_events":"https://pith.science/api/pith-number/VAWUSBX5BBX5NDGFSSJBBYXCLU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VAWUSBX5BBX5NDGFSSJBBYXCLU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VAWUSBX5BBX5NDGFSSJBBYXCLU/action/storage_attestation","attest_author":"https://pith.science/pith/VAWUSBX5BBX5NDGFSSJBBYXCLU/action/author_attestation","sign_citation":"https://pith.science/pith/VAWUSBX5BBX5NDGFSSJBBYXCLU/action/citation_signature","submit_replication":"https://pith.science/pith/VAWUSBX5BBX5NDGFSSJBBYXCLU/action/replication_record"}},"created_at":"2026-07-05T06:41:47.927022+00:00","updated_at":"2026-07-05T06:41:47.927022+00:00"}