{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AOBE5CT5E6R7D37RFOGUIACFID","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":"7b9f5f4dde2f0e38b9293c077875732c17eeaaa142744f1f18f76f5b38784d6b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-10T02:20:09Z","title_canon_sha256":"fe54374ac9088591e4a10f6c2ad05e32f7f7c83cf6f1fae98c803c1d1c0df138"},"schema_version":"1.0","source":{"id":"2311.05828","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05828","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05828v1","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05828","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"AOBE5CT5E6R7","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"AOBE5CT5E6R7D37R","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"AOBE5CT5","created_at":"2026-07-05T07:11:23Z"}],"graph_snapshots":[{"event_id":"sha256:92b01c1ba4e548cc02645045220135c18ffa0fb7f0a060ce0804a2af145a8932","target":"graph","created_at":"2026-07-05T07:11:23Z","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/2311.05828/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Registering clothes from 4D scans with vertex-accurate correspondence is challenging, yet important for dynamic appearance modeling and physics parameter estimation from real-world data. However, previous methods either rely on texture information, which is not always reliable, or achieve only coarse-level alignment. In this work, we present a novel approach to enabling accurate surface registration of texture-less clothes with large deformation. Our key idea is to effectively leverage a shape prior learned from pre-captured clothing using diffusion models. We also propose a multi-stage guidan","authors_text":"Chenglei Wu, Donglai Xiang, Fabian Prada, Hyun Soo Park, Javier Romero, Jingfan Guo, Shunsuke Saito, Takaaki Shiratori","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-10T02:20:09Z","title":"Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05828","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":"sha256:803408a1875f75dc12c9410f945dc7d05465990a66b2a4e1712b9edc9b5b735c","target":"record","created_at":"2026-07-05T07:11:23Z","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":"7b9f5f4dde2f0e38b9293c077875732c17eeaaa142744f1f18f76f5b38784d6b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-10T02:20:09Z","title_canon_sha256":"fe54374ac9088591e4a10f6c2ad05e32f7f7c83cf6f1fae98c803c1d1c0df138"},"schema_version":"1.0","source":{"id":"2311.05828","kind":"arxiv","version":1}},"canonical_sha256":"03824e8a7d27a3f1eff12b8d44004540f26ccfbb1249cf702d10cddd466ed572","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03824e8a7d27a3f1eff12b8d44004540f26ccfbb1249cf702d10cddd466ed572","first_computed_at":"2026-07-05T07:11:23.475470Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:11:23.475470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oNNRwyqbEyqGLL+SzuBokHW1kAn5/EoahdO7ncOPz9bf7VGo4GhJnD46e5diXw9H6O3Fhnb9tCSRRQEg5xa6DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:11:23.475905Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.05828","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:803408a1875f75dc12c9410f945dc7d05465990a66b2a4e1712b9edc9b5b735c","sha256:92b01c1ba4e548cc02645045220135c18ffa0fb7f0a060ce0804a2af145a8932"],"state_sha256":"343179c7e0266da3d0883d4f101d2527ca971ecba566cbf70f57c371bf3c8ba1"}