{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QXABGNC5DLNENL6SRVTZOY6R24","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":"e33b46a944ba7ffbc9231d072b7f7709db373cf4214451277757684392cc01cf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T13:22:57Z","title_canon_sha256":"8a59c3462fecd7b68db5eb894b91eacd158525bee7cd53e798e1ade4c02a6592"},"schema_version":"1.0","source":{"id":"2203.07881","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.07881","created_at":"2026-07-05T04:05:23Z"},{"alias_kind":"arxiv_version","alias_value":"2203.07881v1","created_at":"2026-07-05T04:05:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.07881","created_at":"2026-07-05T04:05:23Z"},{"alias_kind":"pith_short_12","alias_value":"QXABGNC5DLNE","created_at":"2026-07-05T04:05:23Z"},{"alias_kind":"pith_short_16","alias_value":"QXABGNC5DLNENL6S","created_at":"2026-07-05T04:05:23Z"},{"alias_kind":"pith_short_8","alias_value":"QXABGNC5","created_at":"2026-07-05T04:05:23Z"}],"graph_snapshots":[{"event_id":"sha256:e495bdd91bef79c5cc9e8072c72fa316de1ff5c3aafde82cd41eef8a6fda663d","target":"graph","created_at":"2026-07-05T04:05:23Z","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/2203.07881/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural face avatars that are trained from multi-view data captured in camera domes can produce photo-realistic 3D reconstructions. However, at inference time, they must be driven by limited inputs such as partial views recorded by headset-mounted cameras or a front-facing camera, and sparse facial landmarks. To mitigate this asymmetry, we introduce a prior model that is conditioned on the runtime inputs and tie this prior space to the 3D face model via a normalizing flow in the latent space. Our proposed model, LiP-Flow, consists of two encoders that learn representations from the rich trainin","authors_text":"Akin Caliskan, Alexander Richard, Emre Aksan, Jason Saragih, Otmar Hilliges, Shih-En Wei, Shugao Ma, Stanislav Pidhorskyi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T13:22:57Z","title":"LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.07881","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":"sha256:4a917f17948584559af5ca2e3bf7ef0ed1e212f4ad1207a6bba508d407086664","target":"record","created_at":"2026-07-05T04:05:23Z","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":"e33b46a944ba7ffbc9231d072b7f7709db373cf4214451277757684392cc01cf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T13:22:57Z","title_canon_sha256":"8a59c3462fecd7b68db5eb894b91eacd158525bee7cd53e798e1ade4c02a6592"},"schema_version":"1.0","source":{"id":"2203.07881","kind":"arxiv","version":1}},"canonical_sha256":"85c013345d1ada46afd28d679763d1d72fd52df313a0f6d2c785ae57bc09e194","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85c013345d1ada46afd28d679763d1d72fd52df313a0f6d2c785ae57bc09e194","first_computed_at":"2026-07-05T04:05:23.779459Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:05:23.779459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gQRvBZ4KoRc/fg/K4qHS9LIfNEW3do+H7QEEikk5MxHgUKqyL4V4+7iaR4e7Gi+PqKZtIzc/tpivY3FWFCh/Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:05:23.779795Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.07881","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a917f17948584559af5ca2e3bf7ef0ed1e212f4ad1207a6bba508d407086664","sha256:e495bdd91bef79c5cc9e8072c72fa316de1ff5c3aafde82cd41eef8a6fda663d"],"state_sha256":"71eba8a5a9f92bd10ffe16f5412d34b330841733e56c31cee54a9955b17c02eb"}