{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ONA6IJBVNFNZXTOUKE6A2FH2PP","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":"fa1d7aed7213201a56649335e398d5fe0e6f9367c3c580ea2a3d2a7f4b3a64d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-03T07:04:00Z","title_canon_sha256":"f3b5a42c51dbb632a92301f2c3954fe4e2b9b5c523a03473ea808baed271a692"},"schema_version":"1.0","source":{"id":"2106.01629","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.01629","created_at":"2026-07-05T02:45:53Z"},{"alias_kind":"arxiv_version","alias_value":"2106.01629v1","created_at":"2026-07-05T02:45:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.01629","created_at":"2026-07-05T02:45:53Z"},{"alias_kind":"pith_short_12","alias_value":"ONA6IJBVNFNZ","created_at":"2026-07-05T02:45:53Z"},{"alias_kind":"pith_short_16","alias_value":"ONA6IJBVNFNZXTOU","created_at":"2026-07-05T02:45:53Z"},{"alias_kind":"pith_short_8","alias_value":"ONA6IJBV","created_at":"2026-07-05T02:45:53Z"}],"graph_snapshots":[{"event_id":"sha256:c8fb0ac5a2466bcf7467a1acba944ce7936713246fb95958cdc644d0f44b4b94","target":"graph","created_at":"2026-07-05T02:45:53Z","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/2106.01629/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the recent progress of generative adversarial networks (GANs) at synthesizing photo-realistic images, producing complex urban scenes remains a challenging problem. Previous works break down scene generation into two consecutive phases: unconditional semantic layout synthesis and image synthesis conditioned on layouts. In this work, we propose to condition layout generation as well for higher semantic control: given a vector of class proportions, we generate layouts with matching composition. To this end, we introduce a conditional framework with novel architecture designs and learning ","authors_text":"Guillaume Le Moing, Himalaya Jain, Matthieu Cord, Patrick P\\'erez, Tuan-Hung Vu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-03T07:04:00Z","title":"Semantic Palette: Guiding Scene Generation with Class Proportions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.01629","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":"sha256:7d4bdeffafd6d05444ad66b3b11463cb58917be7e54cf080ce65ae51f3fd08a4","target":"record","created_at":"2026-07-05T02:45:53Z","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":"fa1d7aed7213201a56649335e398d5fe0e6f9367c3c580ea2a3d2a7f4b3a64d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-03T07:04:00Z","title_canon_sha256":"f3b5a42c51dbb632a92301f2c3954fe4e2b9b5c523a03473ea808baed271a692"},"schema_version":"1.0","source":{"id":"2106.01629","kind":"arxiv","version":1}},"canonical_sha256":"7341e42435695b9bcdd4513c0d14fa7bf1281cbc8cb8ba398b8893f5518a00bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7341e42435695b9bcdd4513c0d14fa7bf1281cbc8cb8ba398b8893f5518a00bc","first_computed_at":"2026-07-05T02:45:53.851546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:45:53.851546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eXWE8lRngnEkn5yd/x13h+qsfyq/bpeLCDla24Lcjjj5D3Thme5asJCumSMnRfdvlYLi8LPzyI43Cev0ScBcDg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:45:53.852065Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.01629","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d4bdeffafd6d05444ad66b3b11463cb58917be7e54cf080ce65ae51f3fd08a4","sha256:c8fb0ac5a2466bcf7467a1acba944ce7936713246fb95958cdc644d0f44b4b94"],"state_sha256":"4a46dec63dfc5934bb080c1ba994e794c7735a42a6650e2ca1b0d2eba485b1fa"}