{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3WHIR3DRPIMDNMTT45IBLX6EGG","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":"69f2f072d1438640615aee4fe33576c8f9a257def343e003613d49fc92417e7d","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-09-20T08:13:52Z","title_canon_sha256":"21d1b90eed7d7a47d6c87720945e8141b127af1f81deaef47589a46fbbc13970"},"schema_version":"1.0","source":{"id":"1809.10239","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.10239","created_at":"2026-05-17T23:53:57Z"},{"alias_kind":"arxiv_version","alias_value":"1809.10239v2","created_at":"2026-05-17T23:53:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.10239","created_at":"2026-05-17T23:53:57Z"},{"alias_kind":"pith_short_12","alias_value":"3WHIR3DRPIMD","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"3WHIR3DRPIMDNMTT","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"3WHIR3DR","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:dbd0a03738754c4d984cc0f94d134d577b9794fd68ea250d5869309bfdd47a06","target":"graph","created_at":"2026-05-17T23:53:57Z","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"},"paper":{"abstract_excerpt":"In this paper we present an end-to-end deep learning framework to turn images that show dynamic content, such as vehicles or pedestrians, into realistic static frames. This objective encounters two main challenges: detecting all the dynamic objects, and inpainting the static occluded background with plausible imagery. The second problem is approached with a conditional generative adversarial model that, taking as input the original dynamic image and its dynamic/static binary mask, is capable of generating the final static image. The former challenge is addressed by the use of a convolutional n","authors_text":"Berta Bescos, Cesar Cadena, Jos\\'e Neira, Roland Siegwart","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-09-20T08:13:52Z","title":"Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.10239","kind":"arxiv","version":2},"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":"sha256:62017f6862601f01998d76ab8129aa8c05f1d904be6520deee2a635366f23bdb","target":"record","created_at":"2026-05-17T23:53:57Z","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":"69f2f072d1438640615aee4fe33576c8f9a257def343e003613d49fc92417e7d","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-09-20T08:13:52Z","title_canon_sha256":"21d1b90eed7d7a47d6c87720945e8141b127af1f81deaef47589a46fbbc13970"},"schema_version":"1.0","source":{"id":"1809.10239","kind":"arxiv","version":2}},"canonical_sha256":"dd8e88ec717a1836b273e75015dfc431a2ed4606117fdde4f66a4abfd7ea151c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd8e88ec717a1836b273e75015dfc431a2ed4606117fdde4f66a4abfd7ea151c","first_computed_at":"2026-05-17T23:53:57.473662Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:57.473662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nWChfkYeYU51AsvJ4SXCyDLADBUe4ZvwKKlvgC4faf6o1tmIxsUeh9aerWlehs9BEn/S4PBUkDS6GqXBfSU8Cg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:57.474205Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.10239","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62017f6862601f01998d76ab8129aa8c05f1d904be6520deee2a635366f23bdb","sha256:dbd0a03738754c4d984cc0f94d134d577b9794fd68ea250d5869309bfdd47a06"],"state_sha256":"a8fccf90499088865cc93b27ecb5a42ca436e4924d2d85aa541b6499e3e5c4d0"}