{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:EOP5GGFC2BM7KNTY75OBNV4LFC","short_pith_number":"pith:EOP5GGFC","schema_version":"1.0","canonical_sha256":"239fd318a2d059f53678ff5c16d78b28aa74498d18b3ca3135aaf7ca1ecd6f18","source":{"kind":"arxiv","id":"2408.10539","version":1},"attestation_state":"computed","paper":{"title":"Training Matting Models without Alpha Labels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Lu, Wenze Liu, Xiangyu Yue, Zhiguo Cao, Zixuan Ye","submitted_at":"2024-08-20T04:34:06Z","abstract_excerpt":"The labelling difficulty has been a longstanding problem in deep image matting. To escape from fine labels, this work explores using rough annotations such as trimaps coarsely indicating the foreground/background as supervision. We present that the cooperation between learned semantics from indicated known regions and proper assumed matting rules can help infer alpha values at transition areas. Inspired by the nonlocal principle in traditional image matting, we build a directional distance consistency loss (DDC loss) at each pixel neighborhood to constrain the alpha values conditioned on the i"},"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":"2408.10539","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T04:34:06Z","cross_cats_sorted":[],"title_canon_sha256":"551c5cda9eb3084a5257672671a6447a89b9b563b445f86ce8bd49fb4e424b4f","abstract_canon_sha256":"b7ec4c273a21795f3d5f24333d202be812a24b0e4beb2013d1c155290bd179ef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:57:13.536002Z","signature_b64":"m6kcNw9eOY4amgJkk531MSJzaiMogx5U+o/mG3CFZ1/pICOl48sLWnzfwXe2k8GhLahF98eK8xx53PVlo2JdCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"239fd318a2d059f53678ff5c16d78b28aa74498d18b3ca3135aaf7ca1ecd6f18","last_reissued_at":"2026-07-05T08:57:13.535519Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:57:13.535519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Training Matting Models without Alpha Labels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Lu, Wenze Liu, Xiangyu Yue, Zhiguo Cao, Zixuan Ye","submitted_at":"2024-08-20T04:34:06Z","abstract_excerpt":"The labelling difficulty has been a longstanding problem in deep image matting. To escape from fine labels, this work explores using rough annotations such as trimaps coarsely indicating the foreground/background as supervision. We present that the cooperation between learned semantics from indicated known regions and proper assumed matting rules can help infer alpha values at transition areas. Inspired by the nonlocal principle in traditional image matting, we build a directional distance consistency loss (DDC loss) at each pixel neighborhood to constrain the alpha values conditioned on the i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.10539","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/2408.10539/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":"2408.10539","created_at":"2026-07-05T08:57:13.535572+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.10539v1","created_at":"2026-07-05T08:57:13.535572+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.10539","created_at":"2026-07-05T08:57:13.535572+00:00"},{"alias_kind":"pith_short_12","alias_value":"EOP5GGFC2BM7","created_at":"2026-07-05T08:57:13.535572+00:00"},{"alias_kind":"pith_short_16","alias_value":"EOP5GGFC2BM7KNTY","created_at":"2026-07-05T08:57:13.535572+00:00"},{"alias_kind":"pith_short_8","alias_value":"EOP5GGFC","created_at":"2026-07-05T08:57:13.535572+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/EOP5GGFC2BM7KNTY75OBNV4LFC","json":"https://pith.science/pith/EOP5GGFC2BM7KNTY75OBNV4LFC.json","graph_json":"https://pith.science/api/pith-number/EOP5GGFC2BM7KNTY75OBNV4LFC/graph.json","events_json":"https://pith.science/api/pith-number/EOP5GGFC2BM7KNTY75OBNV4LFC/events.json","paper":"https://pith.science/paper/EOP5GGFC"},"agent_actions":{"view_html":"https://pith.science/pith/EOP5GGFC2BM7KNTY75OBNV4LFC","download_json":"https://pith.science/pith/EOP5GGFC2BM7KNTY75OBNV4LFC.json","view_paper":"https://pith.science/paper/EOP5GGFC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.10539&json=true","fetch_graph":"https://pith.science/api/pith-number/EOP5GGFC2BM7KNTY75OBNV4LFC/graph.json","fetch_events":"https://pith.science/api/pith-number/EOP5GGFC2BM7KNTY75OBNV4LFC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EOP5GGFC2BM7KNTY75OBNV4LFC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EOP5GGFC2BM7KNTY75OBNV4LFC/action/storage_attestation","attest_author":"https://pith.science/pith/EOP5GGFC2BM7KNTY75OBNV4LFC/action/author_attestation","sign_citation":"https://pith.science/pith/EOP5GGFC2BM7KNTY75OBNV4LFC/action/citation_signature","submit_replication":"https://pith.science/pith/EOP5GGFC2BM7KNTY75OBNV4LFC/action/replication_record"}},"created_at":"2026-07-05T08:57:13.535572+00:00","updated_at":"2026-07-05T08:57:13.535572+00:00"}