{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LGQNDSVCKADO5ELYOK72JSQO77","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":"1754fb2da9d052d8aa01889bc35f0d52bd7473181c373e8988b5ee1f2d4c240a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-26T17:24:40Z","title_canon_sha256":"bf0ccf37bbf0ba6968689afbd2d801a10ca35c39952cac03196647baa5241297"},"schema_version":"1.0","source":{"id":"1803.09722","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.09722","created_at":"2026-05-18T00:18:30Z"},{"alias_kind":"arxiv_version","alias_value":"1803.09722v2","created_at":"2026-05-18T00:18:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.09722","created_at":"2026-05-18T00:18:30Z"},{"alias_kind":"pith_short_12","alias_value":"LGQNDSVCKADO","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LGQNDSVCKADO5ELY","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LGQNDSVC","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:ffce149bbbb1a9e4d4eae6acde9128ed68dc3c3d43a88c4dccc4fca032a3da4a","target":"graph","created_at":"2026-05-18T00:18:30Z","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":"Recently, remarkable advances have been achieved in 3D human pose estimation from monocular images because of the powerful Deep Convolutional Neural Networks (DCNNs). Despite their success on large-scale datasets collected in the constrained lab environment, it is difficult to obtain the 3D pose annotations for in-the-wild images. Therefore, 3D human pose estimation in the wild is still a challenge. In this paper, we propose an adversarial learning framework, which distills the 3D human pose structures learned from the fully annotated dataset to in-the-wild images with only 2D pose annotations","authors_text":"Hongsheng Li, Jimmy Ren, Wanli Ouyang, Wei Yang, Xiaogang Wang, Xiaolong Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-26T17:24:40Z","title":"3D Human Pose Estimation in the Wild by Adversarial Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.09722","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:b11178fa86c1a53230ad2c3513908006e8c04beb48763153b2ee444cdf77edf1","target":"record","created_at":"2026-05-18T00:18:30Z","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":"1754fb2da9d052d8aa01889bc35f0d52bd7473181c373e8988b5ee1f2d4c240a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-26T17:24:40Z","title_canon_sha256":"bf0ccf37bbf0ba6968689afbd2d801a10ca35c39952cac03196647baa5241297"},"schema_version":"1.0","source":{"id":"1803.09722","kind":"arxiv","version":2}},"canonical_sha256":"59a0d1caa25006ee917872bfa4ca0effddeec7a385ec12d3c5275b000aca5a83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59a0d1caa25006ee917872bfa4ca0effddeec7a385ec12d3c5275b000aca5a83","first_computed_at":"2026-05-18T00:18:30.824688Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:30.824688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vi4Lj/txQTf455auVaMgoDGDc15IcXPcellfBMTTnubVSNVQmcYsz5rCXPq60B0pd9yLci3NVw6DGkxoXRf8CA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:30.825193Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.09722","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b11178fa86c1a53230ad2c3513908006e8c04beb48763153b2ee444cdf77edf1","sha256:ffce149bbbb1a9e4d4eae6acde9128ed68dc3c3d43a88c4dccc4fca032a3da4a"],"state_sha256":"849d63c2825fe89314b6735d803e22d4699ec4577c1db0d8447a9a59ff5fa714"}