{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:T6NKIQKSJC3E3UUFFMYX3PS3RJ","short_pith_number":"pith:T6NKIQKS","canonical_record":{"source":{"id":"2308.09591","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T14:38:31Z","cross_cats_sorted":[],"title_canon_sha256":"6694df1f80ccdce344e289380f108c3514d801a6db045bc951f00a82d1137467","abstract_canon_sha256":"86a3eb1f44051d2b3bfd40dfd50b4a7826879e7cf18b1d046eb16547519b2398"},"schema_version":"1.0"},"canonical_sha256":"9f9aa4415248b64dd2852b317dbe5b8a46c6ce72f88724f4abd5663cef19218a","source":{"kind":"arxiv","id":"2308.09591","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09591","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09591v3","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09591","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"pith_short_12","alias_value":"T6NKIQKSJC3E","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"pith_short_16","alias_value":"T6NKIQKSJC3E3UUF","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"pith_short_8","alias_value":"T6NKIQKS","created_at":"2026-07-05T07:57:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:T6NKIQKSJC3E3UUFFMYX3PS3RJ","target":"record","payload":{"canonical_record":{"source":{"id":"2308.09591","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T14:38:31Z","cross_cats_sorted":[],"title_canon_sha256":"6694df1f80ccdce344e289380f108c3514d801a6db045bc951f00a82d1137467","abstract_canon_sha256":"86a3eb1f44051d2b3bfd40dfd50b4a7826879e7cf18b1d046eb16547519b2398"},"schema_version":"1.0"},"canonical_sha256":"9f9aa4415248b64dd2852b317dbe5b8a46c6ce72f88724f4abd5663cef19218a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:57:42.944920Z","signature_b64":"E9NXeriNJ/ueWu5kRvIlwgzNGkkWc6utxRTcd5MHenhngn5Yemm0yLEh12UXbOLCrL+eK7rbrhqjcISdTlQXDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f9aa4415248b64dd2852b317dbe5b8a46c6ce72f88724f4abd5663cef19218a","last_reissued_at":"2026-07-05T07:57:42.944416Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:57:42.944416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.09591","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:57:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SItlx8PWCUOqTxvIivI5CZ7OBKA/OFrCg3IlVALD0Fa+88Rf+iDQBRcpsSX3vwQS9tsp19bEydmMEkC/Bgj6Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:46:04.778715Z"},"content_sha256":"491b323e030aeddd04ce1409c94ea48cd78cbd4fc209547d34dce26ce14df177","schema_version":"1.0","event_id":"sha256:491b323e030aeddd04ce1409c94ea48cd78cbd4fc209547d34dce26ce14df177"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:T6NKIQKSJC3E3UUFFMYX3PS3RJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"O$^2$-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Matthieu Lin, Sheng Ye, Wang Zhao, Ying He, Yong-jin Liu, Yubin Hu, Yu-Hui Wen, Yuze He","submitted_at":"2023-08-18T14:38:31Z","abstract_excerpt":"Occlusion is a common issue in 3D reconstruction from RGB-D videos, often blocking the complete reconstruction of objects and presenting an ongoing problem. In this paper, we propose a novel framework, empowered by a 2D diffusion-based in-painting model, to reconstruct complete surfaces for the hidden parts of objects. Specifically, we utilize a pre-trained diffusion model to fill in the hidden areas of 2D images. Then we use these in-painted images to optimize a neural implicit surface representation for each instance for 3D reconstruction. Since creating the in-painting masks needed for this"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09591","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.09591/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:57:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qi6XJg7OmFPyfxLtIfYaCLPbR3Qf4murfNHPIkGQzgg6vryr6e45vEXaP9wzkE8PVOKGP09WZT63Xyy2XENECQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:46:04.779093Z"},"content_sha256":"beb04bb026c6577b3fe22ba6789038ba57f853c9cc6a61328afeab3ae28ddee2","schema_version":"1.0","event_id":"sha256:beb04bb026c6577b3fe22ba6789038ba57f853c9cc6a61328afeab3ae28ddee2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T6NKIQKSJC3E3UUFFMYX3PS3RJ/bundle.json","state_url":"https://pith.science/pith/T6NKIQKSJC3E3UUFFMYX3PS3RJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T6NKIQKSJC3E3UUFFMYX3PS3RJ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T18:46:04Z","links":{"resolver":"https://pith.science/pith/T6NKIQKSJC3E3UUFFMYX3PS3RJ","bundle":"https://pith.science/pith/T6NKIQKSJC3E3UUFFMYX3PS3RJ/bundle.json","state":"https://pith.science/pith/T6NKIQKSJC3E3UUFFMYX3PS3RJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T6NKIQKSJC3E3UUFFMYX3PS3RJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:T6NKIQKSJC3E3UUFFMYX3PS3RJ","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":"86a3eb1f44051d2b3bfd40dfd50b4a7826879e7cf18b1d046eb16547519b2398","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T14:38:31Z","title_canon_sha256":"6694df1f80ccdce344e289380f108c3514d801a6db045bc951f00a82d1137467"},"schema_version":"1.0","source":{"id":"2308.09591","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09591","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09591v3","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09591","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"pith_short_12","alias_value":"T6NKIQKSJC3E","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"pith_short_16","alias_value":"T6NKIQKSJC3E3UUF","created_at":"2026-07-05T07:57:42Z"},{"alias_kind":"pith_short_8","alias_value":"T6NKIQKS","created_at":"2026-07-05T07:57:42Z"}],"graph_snapshots":[{"event_id":"sha256:beb04bb026c6577b3fe22ba6789038ba57f853c9cc6a61328afeab3ae28ddee2","target":"graph","created_at":"2026-07-05T07:57:42Z","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/2308.09591/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Occlusion is a common issue in 3D reconstruction from RGB-D videos, often blocking the complete reconstruction of objects and presenting an ongoing problem. In this paper, we propose a novel framework, empowered by a 2D diffusion-based in-painting model, to reconstruct complete surfaces for the hidden parts of objects. Specifically, we utilize a pre-trained diffusion model to fill in the hidden areas of 2D images. Then we use these in-painted images to optimize a neural implicit surface representation for each instance for 3D reconstruction. Since creating the in-painting masks needed for this","authors_text":"Matthieu Lin, Sheng Ye, Wang Zhao, Ying He, Yong-jin Liu, Yubin Hu, Yu-Hui Wen, Yuze He","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T14:38:31Z","title":"O$^2$-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09591","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":"sha256:491b323e030aeddd04ce1409c94ea48cd78cbd4fc209547d34dce26ce14df177","target":"record","created_at":"2026-07-05T07:57:42Z","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":"86a3eb1f44051d2b3bfd40dfd50b4a7826879e7cf18b1d046eb16547519b2398","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T14:38:31Z","title_canon_sha256":"6694df1f80ccdce344e289380f108c3514d801a6db045bc951f00a82d1137467"},"schema_version":"1.0","source":{"id":"2308.09591","kind":"arxiv","version":3}},"canonical_sha256":"9f9aa4415248b64dd2852b317dbe5b8a46c6ce72f88724f4abd5663cef19218a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f9aa4415248b64dd2852b317dbe5b8a46c6ce72f88724f4abd5663cef19218a","first_computed_at":"2026-07-05T07:57:42.944416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:42.944416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E9NXeriNJ/ueWu5kRvIlwgzNGkkWc6utxRTcd5MHenhngn5Yemm0yLEh12UXbOLCrL+eK7rbrhqjcISdTlQXDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:42.944920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.09591","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:491b323e030aeddd04ce1409c94ea48cd78cbd4fc209547d34dce26ce14df177","sha256:beb04bb026c6577b3fe22ba6789038ba57f853c9cc6a61328afeab3ae28ddee2"],"state_sha256":"ca9efcb06208288ffcd2d243e30f7f8a11fe0623639d4616048042db1e493bde"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hTrvtdgb0RFod1/Dvw4i2YpIt2ihhmYxP2R2pLF0AsY/QegIHmJ5nsXYa2EeUL6gpgQ0pRIw9/9bBa4oY7DvDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:46:04.781071Z","bundle_sha256":"7e38eda5ec27683ca20c2086ffbadcda3c72a41bfa85a8e459391bc7c8ca4ac5"}}