{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:LHU24VOWJPCXLJ7RXH7VTGNCTJ","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":"60ef34307b307ab3aaa8eabbb5683697f43fb88fc5735093a3261a85418725f3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-10-28T16:24:55Z","title_canon_sha256":"cfe669316c6302abfd805d94a481c891386a582b9c238eef19e04571a484110e"},"schema_version":"1.0","source":{"id":"2110.15267","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.15267","created_at":"2026-07-05T03:26:53Z"},{"alias_kind":"arxiv_version","alias_value":"2110.15267v1","created_at":"2026-07-05T03:26:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.15267","created_at":"2026-07-05T03:26:53Z"},{"alias_kind":"pith_short_12","alias_value":"LHU24VOWJPCX","created_at":"2026-07-05T03:26:53Z"},{"alias_kind":"pith_short_16","alias_value":"LHU24VOWJPCXLJ7R","created_at":"2026-07-05T03:26:53Z"},{"alias_kind":"pith_short_8","alias_value":"LHU24VOW","created_at":"2026-07-05T03:26:53Z"}],"graph_snapshots":[{"event_id":"sha256:e6642500c6f67c68344b2294e1c7f50a849bbf48cdb654280f3843e55c76c4d0","target":"graph","created_at":"2026-07-05T03:26:53Z","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/2110.15267/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recovering dense human poses from images plays a critical role in establishing an image-to-surface correspondence between RGB images and the 3D surface of the human body, serving the foundation of rich real-world applications, such as virtual humans, monocular-to-3d reconstruction. However, the popular DensePose-COCO dataset relies on a sophisticated manual annotation system, leading to severe limitations in acquiring the denser and more accurate annotated pose resources. In this work, we introduce a new 3D human-body model with a series of decoupled parameters that could freely control the ge","authors_text":"Haonan Yan, Jiaqi Chen, Nianhong Jiao, Shengkai Zhang, Tianxiang Zheng, Xiaodan Liang, Xujie Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-10-28T16:24:55Z","title":"UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.15267","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":"sha256:59b628ed4f011a92f9d5bf8b909dbf5c915d8b01db6120c948eed45ced8fd5e0","target":"record","created_at":"2026-07-05T03:26:53Z","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":"60ef34307b307ab3aaa8eabbb5683697f43fb88fc5735093a3261a85418725f3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-10-28T16:24:55Z","title_canon_sha256":"cfe669316c6302abfd805d94a481c891386a582b9c238eef19e04571a484110e"},"schema_version":"1.0","source":{"id":"2110.15267","kind":"arxiv","version":1}},"canonical_sha256":"59e9ae55d64bc575a7f1b9ff5999a29a65ed8f9ee3eadf51ec6ae2ebd837015c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59e9ae55d64bc575a7f1b9ff5999a29a65ed8f9ee3eadf51ec6ae2ebd837015c","first_computed_at":"2026-07-05T03:26:53.947958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:26:53.947958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F3sRCezpc7aiLPEwZdR25JhD1PDmkI0e13Estjs/2Zfp7lpQasXq+xjVHz3coICqFQZ5TDQLSvINsNIdrLBiDA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:26:53.948507Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.15267","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59b628ed4f011a92f9d5bf8b909dbf5c915d8b01db6120c948eed45ced8fd5e0","sha256:e6642500c6f67c68344b2294e1c7f50a849bbf48cdb654280f3843e55c76c4d0"],"state_sha256":"2c8522a02d77c617b424fbfc16295ff8e620cfd41e81aa4f055612f5be17d2b4"}