{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BKIGJIMAGX7WYGYIDLVDGIQNQL","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":"5c3f701798df60d0c3d6bec3556fd727558cbe27f1205dba008bed2b030fea39","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T19:48:56Z","title_canon_sha256":"ecc57f5c079a184a4f2a1be24fc37b21722b9caa36143c3f0fa87561742242da"},"schema_version":"1.0","source":{"id":"2306.08103","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.08103","created_at":"2026-07-05T08:04:02Z"},{"alias_kind":"arxiv_version","alias_value":"2306.08103v4","created_at":"2026-07-05T08:04:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.08103","created_at":"2026-07-05T08:04:02Z"},{"alias_kind":"pith_short_12","alias_value":"BKIGJIMAGX7W","created_at":"2026-07-05T08:04:02Z"},{"alias_kind":"pith_short_16","alias_value":"BKIGJIMAGX7WYGYI","created_at":"2026-07-05T08:04:02Z"},{"alias_kind":"pith_short_8","alias_value":"BKIGJIMA","created_at":"2026-07-05T08:04:02Z"}],"graph_snapshots":[{"event_id":"sha256:1d4c3b853dd8a3e81c828019b22a8a97a67c3cff924532cffbcbca774e620fd5","target":"graph","created_at":"2026-07-05T08:04:02Z","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/2306.08103/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have emerged as a powerful generative method, capable of producing stunning photo-realistic images from natural language descriptions. However, these models lack explicit control over the 3D structure in the generated images. Consequently, this hinders our ability to obtain detailed 3D annotations for the generated images or to craft instances with specific poses and distances. In this paper, we propose 3D Diffusion Style Transfer (3D-DST), which incorporates 3D geometry control into diffusion models. Our method exploits ControlNet, which extends diffusion models by using visu","authors_text":"Adam Kortylewski, Alan Yuille, Angtian Wang, Beijia Lu, Guofeng Zhang, Jiahao Wang, Qihao Liu, Ruxiao Duan, Wufei Ma, Xiaoding Yuan, Yaoyao Liu, Yi Zhang, Yongrui Qi, Zihao Xiao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T19:48:56Z","title":"Generating Images with 3D Annotations Using Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.08103","kind":"arxiv","version":4},"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:cde5715954b6ba34c51fcab9b9917ba9aaac530b86740fb0a96750791e0e3fb8","target":"record","created_at":"2026-07-05T08:04:02Z","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":"5c3f701798df60d0c3d6bec3556fd727558cbe27f1205dba008bed2b030fea39","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T19:48:56Z","title_canon_sha256":"ecc57f5c079a184a4f2a1be24fc37b21722b9caa36143c3f0fa87561742242da"},"schema_version":"1.0","source":{"id":"2306.08103","kind":"arxiv","version":4}},"canonical_sha256":"0a9064a18035ff6c1b081aea33220d82e338c5bfa1f50f8381a4fb5f41297204","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a9064a18035ff6c1b081aea33220d82e338c5bfa1f50f8381a4fb5f41297204","first_computed_at":"2026-07-05T08:04:02.831105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:04:02.831105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zxrUVZnIf1g/GqVqmQrNfvu3PgbRxF/VWu9V6rSCuj8qHDnIrCEkm7nNbMkQ9TzyiM1PGKi/792tO8V3mA6MCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:04:02.831585Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.08103","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cde5715954b6ba34c51fcab9b9917ba9aaac530b86740fb0a96750791e0e3fb8","sha256:1d4c3b853dd8a3e81c828019b22a8a97a67c3cff924532cffbcbca774e620fd5"],"state_sha256":"b48f917bf6af461a1296f5e6059be6ace98f46c8c9624e123bc37fc9aae734e0"}