{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A2ZGMQYBS5R5LV4ZVFPXS6LTNV","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":"67e4e727b92b09aeb6f61d3e4fcb513fb4c078dfdacd310e8b1ebad05e46597e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-24T15:22:04Z","title_canon_sha256":"d5463b9ed0d97fd762483eb242aea8de89dca4b0480208decba27df52b1bc02b"},"schema_version":"1.0","source":{"id":"2409.16178","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.16178","created_at":"2026-07-05T11:46:20Z"},{"alias_kind":"arxiv_version","alias_value":"2409.16178v3","created_at":"2026-07-05T11:46:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.16178","created_at":"2026-07-05T11:46:20Z"},{"alias_kind":"pith_short_12","alias_value":"A2ZGMQYBS5R5","created_at":"2026-07-05T11:46:20Z"},{"alias_kind":"pith_short_16","alias_value":"A2ZGMQYBS5R5LV4Z","created_at":"2026-07-05T11:46:20Z"},{"alias_kind":"pith_short_8","alias_value":"A2ZGMQYB","created_at":"2026-07-05T11:46:20Z"}],"graph_snapshots":[{"event_id":"sha256:dc8ae6f256ebba17a76401d494498709db8319e4f04cbe92bf04dc2bc4a44cf6","target":"graph","created_at":"2026-07-05T11:46:20Z","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/2409.16178/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recovering 3D object pose and shape from a single image is a challenging and ill-posed problem. This is due to strong (self-)occlusions, depth ambiguities, the vast intra- and inter-class shape variance, and the lack of 3D ground truth for natural images. Existing deep-network methods are trained on synthetic datasets to predict 3D shapes, so they often struggle generalizing to real-world images. Moreover, they lack an explicit feedback loop for refining noisy estimates, and primarily focus on geometry without directly considering pixel alignment. To tackle these limitations, we develop a nove","authors_text":"Dimitrije Anti\\'c, Dimitrios Tzionas, Georgios Paschalidis, Sai Kumar Dwivedi, Shashank Tripathi, Theo Gevers","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-24T15:22:04Z","title":"SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.16178","kind":"arxiv","version":3},"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:e7d470238e6edf99f1bc06f149cce5cc231b479e98a1439595658c5cb02e0f1a","target":"record","created_at":"2026-07-05T11:46:20Z","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":"67e4e727b92b09aeb6f61d3e4fcb513fb4c078dfdacd310e8b1ebad05e46597e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-24T15:22:04Z","title_canon_sha256":"d5463b9ed0d97fd762483eb242aea8de89dca4b0480208decba27df52b1bc02b"},"schema_version":"1.0","source":{"id":"2409.16178","kind":"arxiv","version":3}},"canonical_sha256":"06b26643019763d5d799a95f7979736d57989fad13e5a2706920c1a8d7f51f5b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06b26643019763d5d799a95f7979736d57989fad13e5a2706920c1a8d7f51f5b","first_computed_at":"2026-07-05T11:46:20.238179Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:20.238179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nZ2XazToPfcGKg4ZKtqvKoJ+bCLEhe5R1K5BLfhnMFMjKx9uInu0CvSM86scLGWEf30gm5aBYU5h5djxWwc0BA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:20.238678Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.16178","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7d470238e6edf99f1bc06f149cce5cc231b479e98a1439595658c5cb02e0f1a","sha256:dc8ae6f256ebba17a76401d494498709db8319e4f04cbe92bf04dc2bc4a44cf6"],"state_sha256":"6609f23d7d54201aed401718d883658ce886f8091c033a343bb6c49af0d7c29d"}