{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:E5FQ4EGLPXRBIDLSJEPB36TPPK","short_pith_number":"pith:E5FQ4EGL","schema_version":"1.0","canonical_sha256":"274b0e10cb7de2140d72491e1dfa6f7ab2cf33da92fbc92e8c5e0fba615b4c00","source":{"kind":"arxiv","id":"2009.08709","version":2},"attestation_state":"computed","paper":{"title":"Progressive Semantic-Aware Style Transformation for Blind Face Restoration","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaofeng Chen, Kwan-Yee K. Wong, Lei Zhang, Lingbo Yang, Xianhui Lin, Xiaoming Li","submitted_at":"2020-09-18T09:27:33Z","abstract_excerpt":"Face restoration is important in face image processing, and has been widely studied in recent years. However, previous works often fail to generate plausible high quality (HQ) results for real-world low quality (LQ) face images. In this paper, we propose a new progressive semantic-aware style transformation framework, named PSFR-GAN, for face restoration. Specifically, instead of using an encoder-decoder framework as previous methods, we formulate the restoration of LQ face images as a multi-scale progressive restoration procedure through semantic-aware style transformation. Given a pair of LQ"},"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":"2009.08709","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-09-18T09:27:33Z","cross_cats_sorted":[],"title_canon_sha256":"5320751a1f9188332344b7f2a4d348be522658865fe0c6376d603b49dbd4b489","abstract_canon_sha256":"1a6b901306dee041b4818910c432293ae6cfbf7eaa44170d2477c7347e5b122e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:24:51.339911Z","signature_b64":"Zz0kLKZeaabOw6cCuc7PYyRdplEjAvQZL0YewTM95QiuZ/s2oGKh7L5r90UzdXbQhRnZDM/j7aBfb3mKDwtfCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"274b0e10cb7de2140d72491e1dfa6f7ab2cf33da92fbc92e8c5e0fba615b4c00","last_reissued_at":"2026-07-05T02:24:51.339488Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:24:51.339488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Progressive Semantic-Aware Style Transformation for Blind Face Restoration","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaofeng Chen, Kwan-Yee K. Wong, Lei Zhang, Lingbo Yang, Xianhui Lin, Xiaoming Li","submitted_at":"2020-09-18T09:27:33Z","abstract_excerpt":"Face restoration is important in face image processing, and has been widely studied in recent years. However, previous works often fail to generate plausible high quality (HQ) results for real-world low quality (LQ) face images. In this paper, we propose a new progressive semantic-aware style transformation framework, named PSFR-GAN, for face restoration. Specifically, instead of using an encoder-decoder framework as previous methods, we formulate the restoration of LQ face images as a multi-scale progressive restoration procedure through semantic-aware style transformation. Given a pair of LQ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.08709","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/2009.08709/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":"2009.08709","created_at":"2026-07-05T02:24:51.339539+00:00"},{"alias_kind":"arxiv_version","alias_value":"2009.08709v2","created_at":"2026-07-05T02:24:51.339539+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.08709","created_at":"2026-07-05T02:24:51.339539+00:00"},{"alias_kind":"pith_short_12","alias_value":"E5FQ4EGLPXRB","created_at":"2026-07-05T02:24:51.339539+00:00"},{"alias_kind":"pith_short_16","alias_value":"E5FQ4EGLPXRBIDLS","created_at":"2026-07-05T02:24:51.339539+00:00"},{"alias_kind":"pith_short_8","alias_value":"E5FQ4EGL","created_at":"2026-07-05T02:24:51.339539+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2501.15443","citing_title":"InfoBFR: Real-World Blind Face Restoration via Information Bottleneck","ref_index":23,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK","json":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK.json","graph_json":"https://pith.science/api/pith-number/E5FQ4EGLPXRBIDLSJEPB36TPPK/graph.json","events_json":"https://pith.science/api/pith-number/E5FQ4EGLPXRBIDLSJEPB36TPPK/events.json","paper":"https://pith.science/paper/E5FQ4EGL"},"agent_actions":{"view_html":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK","download_json":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK.json","view_paper":"https://pith.science/paper/E5FQ4EGL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2009.08709&json=true","fetch_graph":"https://pith.science/api/pith-number/E5FQ4EGLPXRBIDLSJEPB36TPPK/graph.json","fetch_events":"https://pith.science/api/pith-number/E5FQ4EGLPXRBIDLSJEPB36TPPK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK/action/storage_attestation","attest_author":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK/action/author_attestation","sign_citation":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK/action/citation_signature","submit_replication":"https://pith.science/pith/E5FQ4EGLPXRBIDLSJEPB36TPPK/action/replication_record"}},"created_at":"2026-07-05T02:24:51.339539+00:00","updated_at":"2026-07-05T02:24:51.339539+00:00"}