{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7MF2F6SPZVX4722CRJKO3VGZRW","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":"fa4f8b290188ec0ecbf71e0ac0f9c3af724bfc93d6cb17bf5dd51d7d9e1ef313","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-04T15:33:28Z","title_canon_sha256":"53d8ca6ac586d60962b201db31bfbdcae34f2e8e3882862f8629d91c43a9fb82"},"schema_version":"1.0","source":{"id":"2204.01586","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.01586","created_at":"2026-07-05T04:51:56Z"},{"alias_kind":"arxiv_version","alias_value":"2204.01586v2","created_at":"2026-07-05T04:51:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.01586","created_at":"2026-07-05T04:51:56Z"},{"alias_kind":"pith_short_12","alias_value":"7MF2F6SPZVX4","created_at":"2026-07-05T04:51:56Z"},{"alias_kind":"pith_short_16","alias_value":"7MF2F6SPZVX4722C","created_at":"2026-07-05T04:51:56Z"},{"alias_kind":"pith_short_8","alias_value":"7MF2F6SP","created_at":"2026-07-05T04:51:56Z"}],"graph_snapshots":[{"event_id":"sha256:dee37bfc7a151005619ef84f4aa2de798eb54d3308bffea2f35c65b9ece25f14","target":"graph","created_at":"2026-07-05T04:51:56Z","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/2204.01586/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, RGBD-based category-level 6D object pose estimation has achieved promising improvement in performance, however, the requirement of depth information prohibits broader applications. In order to relieve this problem, this paper proposes a novel approach named Object Level Depth reconstruction Network (OLD-Net) taking only RGB images as input for category-level 6D object pose estimation. We propose to directly predict object-level depth from a monocular RGB image by deforming the category-level shape prior into object-level depth and the canonical NOCS representation. Two novel modules ","authors_text":"Hongyan Liu, Jian Xu, Jun He, Kejian Wu, Zhaoxin Fan, Zhenbo Song, Zhicheng Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-04T15:33:28Z","title":"Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.01586","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":"sha256:8a3f9fdfdacd67b5f5656acf723b29193dc4e2fea5e5875f62117a4da8d48651","target":"record","created_at":"2026-07-05T04:51:56Z","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":"fa4f8b290188ec0ecbf71e0ac0f9c3af724bfc93d6cb17bf5dd51d7d9e1ef313","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-04T15:33:28Z","title_canon_sha256":"53d8ca6ac586d60962b201db31bfbdcae34f2e8e3882862f8629d91c43a9fb82"},"schema_version":"1.0","source":{"id":"2204.01586","kind":"arxiv","version":2}},"canonical_sha256":"fb0ba2fa4fcd6fcfeb428a54edd4d98da2ea356dc8544389e2dc4a5cff26a17e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb0ba2fa4fcd6fcfeb428a54edd4d98da2ea356dc8544389e2dc4a5cff26a17e","first_computed_at":"2026-07-05T04:51:56.119762Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:51:56.119762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2PO1ID8saSuUxiX9mXHqQfdsWdT7uliRbUdCSeqPq+tSTryxTBNjXn172XG1DxGUqGRhPpvevE7/B66p+7lXAg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:51:56.120188Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.01586","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a3f9fdfdacd67b5f5656acf723b29193dc4e2fea5e5875f62117a4da8d48651","sha256:dee37bfc7a151005619ef84f4aa2de798eb54d3308bffea2f35c65b9ece25f14"],"state_sha256":"98d3dbde30703db61c0a0b24cfa024f102cf54cf67b439b38340d650f626c288"}