{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GJLPOUBUQWU344QDIMPBUMDZSL","short_pith_number":"pith:GJLPOUBU","canonical_record":{"source":{"id":"2208.12343","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-08-25T20:57:07Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"92e10503cd969268a7d964cba0775833c0e4ec2b5e39d0b051efc2287df622b2","abstract_canon_sha256":"1c051c0a72d2ab7f8e52a2b5f0191736349be0cb72564bc5c7936a5e7be88f1e"},"schema_version":"1.0"},"canonical_sha256":"3256f7503485a9be7203431e1a307992cfdc60dd8583d94aef55ec13a3235334","source":{"kind":"arxiv","id":"2208.12343","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.12343","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"arxiv_version","alias_value":"2208.12343v1","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12343","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_12","alias_value":"GJLPOUBUQWU3","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_16","alias_value":"GJLPOUBUQWU344QD","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_8","alias_value":"GJLPOUBU","created_at":"2026-07-05T04:51:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GJLPOUBUQWU344QDIMPBUMDZSL","target":"record","payload":{"canonical_record":{"source":{"id":"2208.12343","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-08-25T20:57:07Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"92e10503cd969268a7d964cba0775833c0e4ec2b5e39d0b051efc2287df622b2","abstract_canon_sha256":"1c051c0a72d2ab7f8e52a2b5f0191736349be0cb72564bc5c7936a5e7be88f1e"},"schema_version":"1.0"},"canonical_sha256":"3256f7503485a9be7203431e1a307992cfdc60dd8583d94aef55ec13a3235334","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:51:44.181804Z","signature_b64":"p/x4lZJV7TmyQlsm5IJBKkFEyDKd17c4TpxAGYIrOfyhXCxcYYqvkHdWdFMSv7mZfL2cqkap8/Pmg06vGFbuBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3256f7503485a9be7203431e1a307992cfdc60dd8583d94aef55ec13a3235334","last_reissued_at":"2026-07-05T04:51:44.181392Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:51:44.181392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.12343","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:51:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"il/uLGkmAisbmNVSuNIqyAkVsEs8vIbuWTITQut9P4F9OoQcrVlYg7mJ54ihlXxPn5XNfc3LEwxj8qQ1+WNxDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:09:27.041549Z"},"content_sha256":"f3921197ef7b2629b35585e65cd7948fa740c29db21809ef040384cc4409f03b","schema_version":"1.0","event_id":"sha256:f3921197ef7b2629b35585e65cd7948fa740c29db21809ef040384cc4409f03b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GJLPOUBUQWU344QDIMPBUMDZSL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Alexis Baudron, Brian Lee, Fei Lei, Huaijin Chen","submitted_at":"2022-08-25T20:57:07Z","abstract_excerpt":"In this paper, we tackle the problem of monocular bokeh synthesis, where we attempt to render a shallow depth of field image from a single all-in-focus image. Unlike in DSLR cameras, this effect can not be captured directly in mobile cameras due to the physical constraints of the mobile aperture. We thus propose a network-based approach that is capable of rendering realistic monocular bokeh from single image inputs. To do this, we introduce three new edge-aware Bokeh Losses based on a predicted monocular depth map, that sharpens the foreground edges while blurring the background. This model is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12343","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/2208.12343/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:51:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1YkH03SHPmE944doPomLxDR0GWIHzwtxU03du/e8MQIK+j4GMNpAQr/AphIishkDhxouO6MITpTsLDNN2wabBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:09:27.042071Z"},"content_sha256":"7fc51a91bbe536161152a09c5c112031d2aa66648f20fea562de8a61f5881217","schema_version":"1.0","event_id":"sha256:7fc51a91bbe536161152a09c5c112031d2aa66648f20fea562de8a61f5881217"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GJLPOUBUQWU344QDIMPBUMDZSL/bundle.json","state_url":"https://pith.science/pith/GJLPOUBUQWU344QDIMPBUMDZSL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GJLPOUBUQWU344QDIMPBUMDZSL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T06:09:27Z","links":{"resolver":"https://pith.science/pith/GJLPOUBUQWU344QDIMPBUMDZSL","bundle":"https://pith.science/pith/GJLPOUBUQWU344QDIMPBUMDZSL/bundle.json","state":"https://pith.science/pith/GJLPOUBUQWU344QDIMPBUMDZSL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GJLPOUBUQWU344QDIMPBUMDZSL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GJLPOUBUQWU344QDIMPBUMDZSL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1c051c0a72d2ab7f8e52a2b5f0191736349be0cb72564bc5c7936a5e7be88f1e","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-08-25T20:57:07Z","title_canon_sha256":"92e10503cd969268a7d964cba0775833c0e4ec2b5e39d0b051efc2287df622b2"},"schema_version":"1.0","source":{"id":"2208.12343","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.12343","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"arxiv_version","alias_value":"2208.12343v1","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12343","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_12","alias_value":"GJLPOUBUQWU3","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_16","alias_value":"GJLPOUBUQWU344QD","created_at":"2026-07-05T04:51:44Z"},{"alias_kind":"pith_short_8","alias_value":"GJLPOUBU","created_at":"2026-07-05T04:51:44Z"}],"graph_snapshots":[{"event_id":"sha256:7fc51a91bbe536161152a09c5c112031d2aa66648f20fea562de8a61f5881217","target":"graph","created_at":"2026-07-05T04:51:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2208.12343/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we tackle the problem of monocular bokeh synthesis, where we attempt to render a shallow depth of field image from a single all-in-focus image. Unlike in DSLR cameras, this effect can not be captured directly in mobile cameras due to the physical constraints of the mobile aperture. We thus propose a network-based approach that is capable of rendering realistic monocular bokeh from single image inputs. To do this, we introduce three new edge-aware Bokeh Losses based on a predicted monocular depth map, that sharpens the foreground edges while blurring the background. This model is","authors_text":"Alexis Baudron, Brian Lee, Fei Lei, Huaijin Chen","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-08-25T20:57:07Z","title":"Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12343","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f3921197ef7b2629b35585e65cd7948fa740c29db21809ef040384cc4409f03b","target":"record","created_at":"2026-07-05T04:51:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1c051c0a72d2ab7f8e52a2b5f0191736349be0cb72564bc5c7936a5e7be88f1e","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-08-25T20:57:07Z","title_canon_sha256":"92e10503cd969268a7d964cba0775833c0e4ec2b5e39d0b051efc2287df622b2"},"schema_version":"1.0","source":{"id":"2208.12343","kind":"arxiv","version":1}},"canonical_sha256":"3256f7503485a9be7203431e1a307992cfdc60dd8583d94aef55ec13a3235334","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3256f7503485a9be7203431e1a307992cfdc60dd8583d94aef55ec13a3235334","first_computed_at":"2026-07-05T04:51:44.181392Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:51:44.181392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p/x4lZJV7TmyQlsm5IJBKkFEyDKd17c4TpxAGYIrOfyhXCxcYYqvkHdWdFMSv7mZfL2cqkap8/Pmg06vGFbuBw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:51:44.181804Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.12343","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3921197ef7b2629b35585e65cd7948fa740c29db21809ef040384cc4409f03b","sha256:7fc51a91bbe536161152a09c5c112031d2aa66648f20fea562de8a61f5881217"],"state_sha256":"19578cf9ef8ab676cfcec56cf71cd308128524f3eb7e0c3ad65871a36c37d75b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pF1OHhBF9Hck/mf2OBKxsrlIoZlC0sBsLzYs9YfMTTcCYkk72pQjN9s6dBWiAiP5Yn+0js6LspOhXvaFq+yvAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:09:27.046461Z","bundle_sha256":"996857088f81be14586015062bb56f9b087ff5e6a350cbffcff9b453cda5bc1b"}}