{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:QJIABNHW2D55SFJL6TLC4XSBUW","short_pith_number":"pith:QJIABNHW","schema_version":"1.0","canonical_sha256":"825000b4f6d0fbd9152bf4d62e5e41a5af11d79ad7c62b8dd6e242484a94041b","source":{"kind":"arxiv","id":"2103.09479","version":2},"attestation_state":"computed","paper":{"title":"Disentangled Cycle Consistency for Highly-realistic Virtual Try-On","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chongjian Ge, Han Yang, Ping Luo, Wei Liu, Yibing Song, Yuying Ge","submitted_at":"2021-03-17T07:18:55Z","abstract_excerpt":"Image virtual try-on replaces the clothes on a person image with a desired in-shop clothes image. It is challenging because the person and the in-shop clothes are unpaired. Existing methods formulate virtual try-on as either in-painting or cycle consistency. Both of these two formulations encourage the generation networks to reconstruct the input image in a self-supervised manner. However, existing methods do not differentiate clothing and non-clothing regions. A straight-forward generation impedes virtual try-on quality because of the heavily coupled image contents. In this paper, we propose "},"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":"2103.09479","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-17T07:18:55Z","cross_cats_sorted":[],"title_canon_sha256":"d98ecddc15ea40f88894afd53af4552ae48c748a94ad792d1f21ce45d41947ed","abstract_canon_sha256":"2211ec7bf48000fa8cde5857d04e5512eb5f8be87c11a3fd2f4be65c83ba6966"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:24:41.013904Z","signature_b64":"WlFmG7gNUNetOr4Ga+kZMXnb9rWFPb6KhaV4v9JlY0jr24JpgiZJ2AdN0sDQ4pen6MWFICPPrH2eGZlgTMGjBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"825000b4f6d0fbd9152bf4d62e5e41a5af11d79ad7c62b8dd6e242484a94041b","last_reissued_at":"2026-07-05T02:24:41.013310Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:24:41.013310Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Disentangled Cycle Consistency for Highly-realistic Virtual Try-On","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chongjian Ge, Han Yang, Ping Luo, Wei Liu, Yibing Song, Yuying Ge","submitted_at":"2021-03-17T07:18:55Z","abstract_excerpt":"Image virtual try-on replaces the clothes on a person image with a desired in-shop clothes image. It is challenging because the person and the in-shop clothes are unpaired. Existing methods formulate virtual try-on as either in-painting or cycle consistency. Both of these two formulations encourage the generation networks to reconstruct the input image in a self-supervised manner. However, existing methods do not differentiate clothing and non-clothing regions. A straight-forward generation impedes virtual try-on quality because of the heavily coupled image contents. In this paper, we propose "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.09479","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2103.09479/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":"2103.09479","created_at":"2026-07-05T02:24:41.013391+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.09479v2","created_at":"2026-07-05T02:24:41.013391+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.09479","created_at":"2026-07-05T02:24:41.013391+00:00"},{"alias_kind":"pith_short_12","alias_value":"QJIABNHW2D55","created_at":"2026-07-05T02:24:41.013391+00:00"},{"alias_kind":"pith_short_16","alias_value":"QJIABNHW2D55SFJL","created_at":"2026-07-05T02:24:41.013391+00:00"},{"alias_kind":"pith_short_8","alias_value":"QJIABNHW","created_at":"2026-07-05T02:24:41.013391+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/QJIABNHW2D55SFJL6TLC4XSBUW","json":"https://pith.science/pith/QJIABNHW2D55SFJL6TLC4XSBUW.json","graph_json":"https://pith.science/api/pith-number/QJIABNHW2D55SFJL6TLC4XSBUW/graph.json","events_json":"https://pith.science/api/pith-number/QJIABNHW2D55SFJL6TLC4XSBUW/events.json","paper":"https://pith.science/paper/QJIABNHW"},"agent_actions":{"view_html":"https://pith.science/pith/QJIABNHW2D55SFJL6TLC4XSBUW","download_json":"https://pith.science/pith/QJIABNHW2D55SFJL6TLC4XSBUW.json","view_paper":"https://pith.science/paper/QJIABNHW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.09479&json=true","fetch_graph":"https://pith.science/api/pith-number/QJIABNHW2D55SFJL6TLC4XSBUW/graph.json","fetch_events":"https://pith.science/api/pith-number/QJIABNHW2D55SFJL6TLC4XSBUW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QJIABNHW2D55SFJL6TLC4XSBUW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QJIABNHW2D55SFJL6TLC4XSBUW/action/storage_attestation","attest_author":"https://pith.science/pith/QJIABNHW2D55SFJL6TLC4XSBUW/action/author_attestation","sign_citation":"https://pith.science/pith/QJIABNHW2D55SFJL6TLC4XSBUW/action/citation_signature","submit_replication":"https://pith.science/pith/QJIABNHW2D55SFJL6TLC4XSBUW/action/replication_record"}},"created_at":"2026-07-05T02:24:41.013391+00:00","updated_at":"2026-07-05T02:24:41.013391+00:00"}