{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:6KKJ5IYUIXPN3ZWPF3IJ2O3UN2","short_pith_number":"pith:6KKJ5IYU","canonical_record":{"source":{"id":"2106.11944","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-22T17:30:12Z","cross_cats_sorted":[],"title_canon_sha256":"9cc0d19f586fdd11c3a912128a8885d445154611c06cb5bc13ea7678c19cb81d","abstract_canon_sha256":"c43551583b207fc462c54be0a70df2b50b1814532ee711d5a4ac85dc0f2f9b1f"},"schema_version":"1.0"},"canonical_sha256":"f2949ea31445dedde6cf2ed09d3b746e90a72fc5aeaee8f5bd85d0f006bd09dd","source":{"kind":"arxiv","id":"2106.11944","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.11944","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"arxiv_version","alias_value":"2106.11944v2","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.11944","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"pith_short_12","alias_value":"6KKJ5IYUIXPN","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"pith_short_16","alias_value":"6KKJ5IYUIXPN3ZWP","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"pith_short_8","alias_value":"6KKJ5IYU","created_at":"2026-07-05T03:50:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:6KKJ5IYUIXPN3ZWPF3IJ2O3UN2","target":"record","payload":{"canonical_record":{"source":{"id":"2106.11944","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-22T17:30:12Z","cross_cats_sorted":[],"title_canon_sha256":"9cc0d19f586fdd11c3a912128a8885d445154611c06cb5bc13ea7678c19cb81d","abstract_canon_sha256":"c43551583b207fc462c54be0a70df2b50b1814532ee711d5a4ac85dc0f2f9b1f"},"schema_version":"1.0"},"canonical_sha256":"f2949ea31445dedde6cf2ed09d3b746e90a72fc5aeaee8f5bd85d0f006bd09dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:50:00.941885Z","signature_b64":"7oZH4gkVpH3gAUXgbP2xQiFcRfnB9BiCNTwFOgHMH4bQfULYPdl/itHfmRRfpVry8w2IFW1tDl9e6vfB9b4CAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f2949ea31445dedde6cf2ed09d3b746e90a72fc5aeaee8f5bd85d0f006bd09dd","last_reissued_at":"2026-07-05T03:50:00.941498Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:50:00.941498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.11944","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:50:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bfDD+IlPktaFOLTFqWp6/NsjIvbNhL05S8wGuW+6tyK5tJ6QYi/qxJgK4Dj3KX9GF16yTAh8g8YpwfACmDcMAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:50:13.265903Z"},"content_sha256":"42293c6f65537b45a99360fbc61efe2223b09702dd73ffca1d5b9e100ef9f498","schema_version":"1.0","event_id":"sha256:42293c6f65537b45a99360fbc61efe2223b09702dd73ffca1d5b9e100ef9f498"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:6KKJ5IYUIXPN3ZWPF3IJ2O3UN2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andreas Geiger, Marko Mihajlovic, Qianli Ma, Shaofei Wang, Siyu Tang","submitted_at":"2021-06-22T17:30:12Z","abstract_excerpt":"In this paper, we aim to create generalizable and controllable neural signed distance fields (SDFs) that represent clothed humans from monocular depth observations. Recent advances in deep learning, especially neural implicit representations, have enabled human shape reconstruction and controllable avatar generation from different sensor inputs. However, to generate realistic cloth deformations from novel input poses, watertight meshes or dense full-body scans are usually needed as inputs. Furthermore, due to the difficulty of effectively modeling pose-dependent cloth deformations for diverse "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.11944","kind":"arxiv","version":2},"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/2106.11944/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":"2026-07-05T03:50:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"11mKTB1gG6WJBu5/PMsKPVCyjTu9TDMlCBR5YSSt5zIyQi0BtLQvKBwjgV2iGAmnREivjZSkEWfI8dgpwKUbBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:50:13.266302Z"},"content_sha256":"69000b29dfad2a81978af8abcede34fc9514cc947727c6d0be6fd987c0d11d84","schema_version":"1.0","event_id":"sha256:69000b29dfad2a81978af8abcede34fc9514cc947727c6d0be6fd987c0d11d84"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6KKJ5IYUIXPN3ZWPF3IJ2O3UN2/bundle.json","state_url":"https://pith.science/pith/6KKJ5IYUIXPN3ZWPF3IJ2O3UN2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6KKJ5IYUIXPN3ZWPF3IJ2O3UN2/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":"2026-07-07T13:50:13Z","links":{"resolver":"https://pith.science/pith/6KKJ5IYUIXPN3ZWPF3IJ2O3UN2","bundle":"https://pith.science/pith/6KKJ5IYUIXPN3ZWPF3IJ2O3UN2/bundle.json","state":"https://pith.science/pith/6KKJ5IYUIXPN3ZWPF3IJ2O3UN2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6KKJ5IYUIXPN3ZWPF3IJ2O3UN2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6KKJ5IYUIXPN3ZWPF3IJ2O3UN2","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":"c43551583b207fc462c54be0a70df2b50b1814532ee711d5a4ac85dc0f2f9b1f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-22T17:30:12Z","title_canon_sha256":"9cc0d19f586fdd11c3a912128a8885d445154611c06cb5bc13ea7678c19cb81d"},"schema_version":"1.0","source":{"id":"2106.11944","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.11944","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"arxiv_version","alias_value":"2106.11944v2","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.11944","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"pith_short_12","alias_value":"6KKJ5IYUIXPN","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"pith_short_16","alias_value":"6KKJ5IYUIXPN3ZWP","created_at":"2026-07-05T03:50:00Z"},{"alias_kind":"pith_short_8","alias_value":"6KKJ5IYU","created_at":"2026-07-05T03:50:00Z"}],"graph_snapshots":[{"event_id":"sha256:69000b29dfad2a81978af8abcede34fc9514cc947727c6d0be6fd987c0d11d84","target":"graph","created_at":"2026-07-05T03:50:00Z","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/2106.11944/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we aim to create generalizable and controllable neural signed distance fields (SDFs) that represent clothed humans from monocular depth observations. Recent advances in deep learning, especially neural implicit representations, have enabled human shape reconstruction and controllable avatar generation from different sensor inputs. However, to generate realistic cloth deformations from novel input poses, watertight meshes or dense full-body scans are usually needed as inputs. Furthermore, due to the difficulty of effectively modeling pose-dependent cloth deformations for diverse ","authors_text":"Andreas Geiger, Marko Mihajlovic, Qianli Ma, Shaofei Wang, Siyu Tang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-22T17:30:12Z","title":"MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.11944","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":"sha256:42293c6f65537b45a99360fbc61efe2223b09702dd73ffca1d5b9e100ef9f498","target":"record","created_at":"2026-07-05T03:50:00Z","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":"c43551583b207fc462c54be0a70df2b50b1814532ee711d5a4ac85dc0f2f9b1f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-22T17:30:12Z","title_canon_sha256":"9cc0d19f586fdd11c3a912128a8885d445154611c06cb5bc13ea7678c19cb81d"},"schema_version":"1.0","source":{"id":"2106.11944","kind":"arxiv","version":2}},"canonical_sha256":"f2949ea31445dedde6cf2ed09d3b746e90a72fc5aeaee8f5bd85d0f006bd09dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f2949ea31445dedde6cf2ed09d3b746e90a72fc5aeaee8f5bd85d0f006bd09dd","first_computed_at":"2026-07-05T03:50:00.941498Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:50:00.941498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7oZH4gkVpH3gAUXgbP2xQiFcRfnB9BiCNTwFOgHMH4bQfULYPdl/itHfmRRfpVry8w2IFW1tDl9e6vfB9b4CAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:50:00.941885Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.11944","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42293c6f65537b45a99360fbc61efe2223b09702dd73ffca1d5b9e100ef9f498","sha256:69000b29dfad2a81978af8abcede34fc9514cc947727c6d0be6fd987c0d11d84"],"state_sha256":"5e7be6c921fb7b98aa0ea4198a24d50e91e14eea1e640ac56aa6d133c26f3e4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/8/gbX8Lx9SF2srBkXiDw7eE4yIt8CJRGSWqBpo8cPeoJ2n7ZCv/IVAFY7i6CsfuAYIA2qPY7xLN6rWvM/UUDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T13:50:13.268239Z","bundle_sha256":"aff5d12f915891993e4386a7a65ac59609d0f75a0aede99cab1229b6ea6976ef"}}