{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:446WU5VOWTAODHH5SCKIY2FREP","short_pith_number":"pith:446WU5VO","schema_version":"1.0","canonical_sha256":"e73d6a76aeb4c0e19cfd90948c68b123dab818b841bdf2c0a652ce0cddac2cab","source":{"kind":"arxiv","id":"2506.16102","version":1},"attestation_state":"computed","paper":{"title":"Fast Training-free Perceptual Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Dailan He, Ling Li, Minye Huang, Tongda Xu, Xingtong Ge, Xinjie Zhang, Yan Wang, Ziran Zhu","submitted_at":"2025-06-19T07:43:46Z","abstract_excerpt":"Training-free perceptual image codec adopt pre-trained unconditional generative model during decoding to avoid training new conditional generative model. However, they heavily rely on diffusion inversion or sample communication, which take 1 min to intractable amount of time to decode a single image. In this paper, we propose a training-free algorithm that improves the perceptual quality of any existing codec with theoretical guarantee. We further propose different implementations for optimal perceptual quality when decoding time budget is $\\approx 0.1$s, $0.1-10$s and $\\ge 10$s. Our approach:"},"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":"2506.16102","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-19T07:43:46Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"508e0372c8f5514203835b7e3f2d6981e021193edc98a1b81e695aa21b58a82e","abstract_canon_sha256":"6b681e32ccd1908bece0b453015e9195e83f730412be3d27adb14897162b1171"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:24:30.578044Z","signature_b64":"foWGIN56fosiFkwpBHreOrpb1VLKo8IilWwX6Y6CxzuWnbnFIDSNvA1FqFjRe4MAVnMPyP/wa0Mt4xn+MBSFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e73d6a76aeb4c0e19cfd90948c68b123dab818b841bdf2c0a652ce0cddac2cab","last_reissued_at":"2026-07-05T11:24:30.577558Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:24:30.577558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fast Training-free Perceptual Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Dailan He, Ling Li, Minye Huang, Tongda Xu, Xingtong Ge, Xinjie Zhang, Yan Wang, Ziran Zhu","submitted_at":"2025-06-19T07:43:46Z","abstract_excerpt":"Training-free perceptual image codec adopt pre-trained unconditional generative model during decoding to avoid training new conditional generative model. However, they heavily rely on diffusion inversion or sample communication, which take 1 min to intractable amount of time to decode a single image. In this paper, we propose a training-free algorithm that improves the perceptual quality of any existing codec with theoretical guarantee. We further propose different implementations for optimal perceptual quality when decoding time budget is $\\approx 0.1$s, $0.1-10$s and $\\ge 10$s. Our approach:"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16102","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/2506.16102/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":"2506.16102","created_at":"2026-07-05T11:24:30.577624+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.16102v1","created_at":"2026-07-05T11:24:30.577624+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16102","created_at":"2026-07-05T11:24:30.577624+00:00"},{"alias_kind":"pith_short_12","alias_value":"446WU5VOWTAO","created_at":"2026-07-05T11:24:30.577624+00:00"},{"alias_kind":"pith_short_16","alias_value":"446WU5VOWTAODHH5","created_at":"2026-07-05T11:24:30.577624+00:00"},{"alias_kind":"pith_short_8","alias_value":"446WU5VO","created_at":"2026-07-05T11:24:30.577624+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/446WU5VOWTAODHH5SCKIY2FREP","json":"https://pith.science/pith/446WU5VOWTAODHH5SCKIY2FREP.json","graph_json":"https://pith.science/api/pith-number/446WU5VOWTAODHH5SCKIY2FREP/graph.json","events_json":"https://pith.science/api/pith-number/446WU5VOWTAODHH5SCKIY2FREP/events.json","paper":"https://pith.science/paper/446WU5VO"},"agent_actions":{"view_html":"https://pith.science/pith/446WU5VOWTAODHH5SCKIY2FREP","download_json":"https://pith.science/pith/446WU5VOWTAODHH5SCKIY2FREP.json","view_paper":"https://pith.science/paper/446WU5VO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.16102&json=true","fetch_graph":"https://pith.science/api/pith-number/446WU5VOWTAODHH5SCKIY2FREP/graph.json","fetch_events":"https://pith.science/api/pith-number/446WU5VOWTAODHH5SCKIY2FREP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/446WU5VOWTAODHH5SCKIY2FREP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/446WU5VOWTAODHH5SCKIY2FREP/action/storage_attestation","attest_author":"https://pith.science/pith/446WU5VOWTAODHH5SCKIY2FREP/action/author_attestation","sign_citation":"https://pith.science/pith/446WU5VOWTAODHH5SCKIY2FREP/action/citation_signature","submit_replication":"https://pith.science/pith/446WU5VOWTAODHH5SCKIY2FREP/action/replication_record"}},"created_at":"2026-07-05T11:24:30.577624+00:00","updated_at":"2026-07-05T11:24:30.577624+00:00"}