{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:2QZSGIM7JB5DK7BK7WNAJXDNJZ","short_pith_number":"pith:2QZSGIM7","canonical_record":{"source":{"id":"1904.02601","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T15:21:39Z","cross_cats_sorted":[],"title_canon_sha256":"2aa22b076d06d64befb5007188274f86aa05a1c4cd1e3c48e3dffbdc42462495","abstract_canon_sha256":"4297ace0e3f384d117bedd46d09d0694bd6c29a47268a789aab61f5f3e014f4c"},"schema_version":"1.0"},"canonical_sha256":"d43323219f487a357c2afd9a04dc6d4e6647561ed8504b44335fc4242ea3c225","source":{"kind":"arxiv","id":"1904.02601","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02601","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02601v4","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02601","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"pith_short_12","alias_value":"2QZSGIM7JB5D","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"pith_short_16","alias_value":"2QZSGIM7JB5DK7BK","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"pith_short_8","alias_value":"2QZSGIM7","created_at":"2026-07-05T03:03:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:2QZSGIM7JB5DK7BK7WNAJXDNJZ","target":"record","payload":{"canonical_record":{"source":{"id":"1904.02601","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T15:21:39Z","cross_cats_sorted":[],"title_canon_sha256":"2aa22b076d06d64befb5007188274f86aa05a1c4cd1e3c48e3dffbdc42462495","abstract_canon_sha256":"4297ace0e3f384d117bedd46d09d0694bd6c29a47268a789aab61f5f3e014f4c"},"schema_version":"1.0"},"canonical_sha256":"d43323219f487a357c2afd9a04dc6d4e6647561ed8504b44335fc4242ea3c225","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:03:36.915925Z","signature_b64":"odyfenJG3LTeEdBlXRj5bYSeJSgNhT5krQKwSYK5OlYcwh8ImAyrQVn63oF6WwanYW7YvnAAMxpQCSD4t4w6Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d43323219f487a357c2afd9a04dc6d4e6647561ed8504b44335fc4242ea3c225","last_reissued_at":"2026-07-05T03:03:36.915462Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:03:36.915462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.02601","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:03:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UDYOgxTpnvWYejBWm2iJVMXKKoch/+GA5opa9X2FH+fXHIEYaSE83ksrl1okV2H7ex4bFqClwrVW3LgeW96ZAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:33:16.383809Z"},"content_sha256":"a9c517e6b2402a3958885b83b437b144191dfdbf097daba1bf51ff764cc56a36","schema_version":"1.0","event_id":"sha256:a9c517e6b2402a3958885b83b437b144191dfdbf097daba1bf51ff764cc56a36"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:2QZSGIM7JB5DK7BK7WNAJXDNJZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TightCap: 3D Human Shape Capture with Clothing Tightness Field","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anqi Pang, Jingyi Yu, Lan Xui, Xin Chen, Yang Wei","submitted_at":"2019-04-04T15:21:39Z","abstract_excerpt":"In this paper, we present TightCap, a data-driven scheme to capture both the human shape and dressed garments accurately with only a single 3D human scan, which enables numerous applications such as virtual try-on, biometrics and body evaluation. To break the severe variations of the human poses and garments, we propose to model the clothing tightness - the displacements from the garments to the human shape implicitly in the global UV texturing domain. To this end, we utilize an enhanced statistical human template and an effective multi-stage alignment scheme to map the 3D scan into a hybrid 2"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02601","kind":"arxiv","version":4},"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/1904.02601/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":"2026-07-05T03:03:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5z4JPtkOyUhW+IN8rsjEVSEAzP+AI367bA0MhqqIn5jakMtEIm0k8VdCG6MzD9/yUynsV98ua7MqUq7a8YeDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:33:16.384305Z"},"content_sha256":"f0195ef4e5e0a046a78a24d8f60d5181c3feac176f2080d9db43dbebad46347d","schema_version":"1.0","event_id":"sha256:f0195ef4e5e0a046a78a24d8f60d5181c3feac176f2080d9db43dbebad46347d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2QZSGIM7JB5DK7BK7WNAJXDNJZ/bundle.json","state_url":"https://pith.science/pith/2QZSGIM7JB5DK7BK7WNAJXDNJZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2QZSGIM7JB5DK7BK7WNAJXDNJZ/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":"2026-08-05T18:33:16Z","links":{"resolver":"https://pith.science/pith/2QZSGIM7JB5DK7BK7WNAJXDNJZ","bundle":"https://pith.science/pith/2QZSGIM7JB5DK7BK7WNAJXDNJZ/bundle.json","state":"https://pith.science/pith/2QZSGIM7JB5DK7BK7WNAJXDNJZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2QZSGIM7JB5DK7BK7WNAJXDNJZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:2QZSGIM7JB5DK7BK7WNAJXDNJZ","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":"4297ace0e3f384d117bedd46d09d0694bd6c29a47268a789aab61f5f3e014f4c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T15:21:39Z","title_canon_sha256":"2aa22b076d06d64befb5007188274f86aa05a1c4cd1e3c48e3dffbdc42462495"},"schema_version":"1.0","source":{"id":"1904.02601","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02601","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02601v4","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02601","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"pith_short_12","alias_value":"2QZSGIM7JB5D","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"pith_short_16","alias_value":"2QZSGIM7JB5DK7BK","created_at":"2026-07-05T03:03:36Z"},{"alias_kind":"pith_short_8","alias_value":"2QZSGIM7","created_at":"2026-07-05T03:03:36Z"}],"graph_snapshots":[{"event_id":"sha256:f0195ef4e5e0a046a78a24d8f60d5181c3feac176f2080d9db43dbebad46347d","target":"graph","created_at":"2026-07-05T03:03:36Z","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/1904.02601/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present TightCap, a data-driven scheme to capture both the human shape and dressed garments accurately with only a single 3D human scan, which enables numerous applications such as virtual try-on, biometrics and body evaluation. To break the severe variations of the human poses and garments, we propose to model the clothing tightness - the displacements from the garments to the human shape implicitly in the global UV texturing domain. To this end, we utilize an enhanced statistical human template and an effective multi-stage alignment scheme to map the 3D scan into a hybrid 2","authors_text":"Anqi Pang, Jingyi Yu, Lan Xui, Xin Chen, Yang Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T15:21:39Z","title":"TightCap: 3D Human Shape Capture with Clothing Tightness Field"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02601","kind":"arxiv","version":4},"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:a9c517e6b2402a3958885b83b437b144191dfdbf097daba1bf51ff764cc56a36","target":"record","created_at":"2026-07-05T03:03:36Z","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":"4297ace0e3f384d117bedd46d09d0694bd6c29a47268a789aab61f5f3e014f4c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T15:21:39Z","title_canon_sha256":"2aa22b076d06d64befb5007188274f86aa05a1c4cd1e3c48e3dffbdc42462495"},"schema_version":"1.0","source":{"id":"1904.02601","kind":"arxiv","version":4}},"canonical_sha256":"d43323219f487a357c2afd9a04dc6d4e6647561ed8504b44335fc4242ea3c225","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d43323219f487a357c2afd9a04dc6d4e6647561ed8504b44335fc4242ea3c225","first_computed_at":"2026-07-05T03:03:36.915462Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:36.915462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"odyfenJG3LTeEdBlXRj5bYSeJSgNhT5krQKwSYK5OlYcwh8ImAyrQVn63oF6WwanYW7YvnAAMxpQCSD4t4w6Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:36.915925Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.02601","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9c517e6b2402a3958885b83b437b144191dfdbf097daba1bf51ff764cc56a36","sha256:f0195ef4e5e0a046a78a24d8f60d5181c3feac176f2080d9db43dbebad46347d"],"state_sha256":"c2a69f3f7b866b5fb0ae02269857b9a907787758e90aaec38510f46b18335acf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+vsdblp968UJKudMeNvU7YPGVFx2lfOEAxVDBCqwvwIel/HviM2avdEm2L7srAJ/r822HzH1s/1lOku3me+mDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T18:33:16.389754Z","bundle_sha256":"2a4ab1c98289e61fa0f743a593073c57cc1bc528a22e83604a433d948c8c3ecc"}}