{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LT4M3WGFW3ULFMSMYNQYVMYL2A","short_pith_number":"pith:LT4M3WGF","canonical_record":{"source":{"id":"2303.10275","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T23:14:04Z","cross_cats_sorted":[],"title_canon_sha256":"f57144387fc9dd425dc7a216756b4440da7a7d5cbf8a94962a13f393cce6ef14","abstract_canon_sha256":"9ed9e369a384620142daef70f705c0aa898c8744f60770f708e9d6e529b36db0"},"schema_version":"1.0"},"canonical_sha256":"5cf8cdd8c5b6e8b2b24cc3618ab30bd038780577b5144e91be10c67a4284daaa","source":{"kind":"arxiv","id":"2303.10275","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.10275","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"arxiv_version","alias_value":"2303.10275v2","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.10275","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"pith_short_12","alias_value":"LT4M3WGFW3UL","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"pith_short_16","alias_value":"LT4M3WGFW3ULFMSM","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"pith_short_8","alias_value":"LT4M3WGF","created_at":"2026-07-05T07:22:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LT4M3WGFW3ULFMSMYNQYVMYL2A","target":"record","payload":{"canonical_record":{"source":{"id":"2303.10275","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T23:14:04Z","cross_cats_sorted":[],"title_canon_sha256":"f57144387fc9dd425dc7a216756b4440da7a7d5cbf8a94962a13f393cce6ef14","abstract_canon_sha256":"9ed9e369a384620142daef70f705c0aa898c8744f60770f708e9d6e529b36db0"},"schema_version":"1.0"},"canonical_sha256":"5cf8cdd8c5b6e8b2b24cc3618ab30bd038780577b5144e91be10c67a4284daaa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:16.392097Z","signature_b64":"kkZZ9O+Q7x9SwcklQbZVBn2JL6JVm135de9OnFIDFjh+JoPbATsMweO2lfvo9p7k0jrc5qN90+toUOmdAsZIBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5cf8cdd8c5b6e8b2b24cc3618ab30bd038780577b5144e91be10c67a4284daaa","last_reissued_at":"2026-07-05T07:22:16.391455Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:16.391455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.10275","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":"2026-07-05T07:22:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jx32oS/kfmad+C/lv/pSUO70MLXhHLbtby2DlceZTuXpoz309bew84uk8cAteQSqhvEQYsZizfDkpx2ernXpBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:50:21.497091Z"},"content_sha256":"78ce37b9fd35831e84eec9896bda7bae4179e54baf68669250a984feda79f730","schema_version":"1.0","event_id":"sha256:78ce37b9fd35831e84eec9896bda7bae4179e54baf68669250a984feda79f730"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LT4M3WGFW3ULFMSMYNQYVMYL2A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexey Larionov, David Svitov, Evgeniya Ustinova, Ilya Zakharkin, Mikhail Sidorenko, Renat Bashirov, Victor Lempitsky","submitted_at":"2023-03-17T23:14:04Z","abstract_excerpt":"We present a system to create Mobile Realistic Fullbody (MoRF) avatars. MoRF avatars are rendered in real-time on mobile devices, learned from monocular videos, and have high realism. We use SMPL-X as a proxy geometry and render it with DNR (neural texture and image-2-image network). We improve on prior work, by overfitting per-frame warping fields in the neural texture space, allowing to better align the training signal between different frames. We also refine SMPL-X mesh fitting procedure to improve the overall avatar quality. In the comparisons to other monocular video-based avatar systems,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.10275","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/2303.10275/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":"2026-07-05T07:22:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WV+MIig6H7bKKhSq3LCG0m4xW8qiGIo1dioswZfaOlywzH5OZuqDRsOZB3u9n2AjO5apngy/Y2M7Kz6OuU0YCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:50:21.497484Z"},"content_sha256":"d95b9e453f15b022ee3c92fee1b2cbd7fd6daa3e6530b7b41ddd51faca3f8499","schema_version":"1.0","event_id":"sha256:d95b9e453f15b022ee3c92fee1b2cbd7fd6daa3e6530b7b41ddd51faca3f8499"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LT4M3WGFW3ULFMSMYNQYVMYL2A/bundle.json","state_url":"https://pith.science/pith/LT4M3WGFW3ULFMSMYNQYVMYL2A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LT4M3WGFW3ULFMSMYNQYVMYL2A/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":"2026-07-06T20:50:21Z","links":{"resolver":"https://pith.science/pith/LT4M3WGFW3ULFMSMYNQYVMYL2A","bundle":"https://pith.science/pith/LT4M3WGFW3ULFMSMYNQYVMYL2A/bundle.json","state":"https://pith.science/pith/LT4M3WGFW3ULFMSMYNQYVMYL2A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LT4M3WGFW3ULFMSMYNQYVMYL2A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LT4M3WGFW3ULFMSMYNQYVMYL2A","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":"9ed9e369a384620142daef70f705c0aa898c8744f60770f708e9d6e529b36db0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T23:14:04Z","title_canon_sha256":"f57144387fc9dd425dc7a216756b4440da7a7d5cbf8a94962a13f393cce6ef14"},"schema_version":"1.0","source":{"id":"2303.10275","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.10275","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"arxiv_version","alias_value":"2303.10275v2","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.10275","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"pith_short_12","alias_value":"LT4M3WGFW3UL","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"pith_short_16","alias_value":"LT4M3WGFW3ULFMSM","created_at":"2026-07-05T07:22:16Z"},{"alias_kind":"pith_short_8","alias_value":"LT4M3WGF","created_at":"2026-07-05T07:22:16Z"}],"graph_snapshots":[{"event_id":"sha256:d95b9e453f15b022ee3c92fee1b2cbd7fd6daa3e6530b7b41ddd51faca3f8499","target":"graph","created_at":"2026-07-05T07:22:16Z","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/2303.10275/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a system to create Mobile Realistic Fullbody (MoRF) avatars. MoRF avatars are rendered in real-time on mobile devices, learned from monocular videos, and have high realism. We use SMPL-X as a proxy geometry and render it with DNR (neural texture and image-2-image network). We improve on prior work, by overfitting per-frame warping fields in the neural texture space, allowing to better align the training signal between different frames. We also refine SMPL-X mesh fitting procedure to improve the overall avatar quality. In the comparisons to other monocular video-based avatar systems,","authors_text":"Alexey Larionov, David Svitov, Evgeniya Ustinova, Ilya Zakharkin, Mikhail Sidorenko, Renat Bashirov, Victor Lempitsky","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T23:14:04Z","title":"MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.10275","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":"sha256:78ce37b9fd35831e84eec9896bda7bae4179e54baf68669250a984feda79f730","target":"record","created_at":"2026-07-05T07:22:16Z","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":"9ed9e369a384620142daef70f705c0aa898c8744f60770f708e9d6e529b36db0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-17T23:14:04Z","title_canon_sha256":"f57144387fc9dd425dc7a216756b4440da7a7d5cbf8a94962a13f393cce6ef14"},"schema_version":"1.0","source":{"id":"2303.10275","kind":"arxiv","version":2}},"canonical_sha256":"5cf8cdd8c5b6e8b2b24cc3618ab30bd038780577b5144e91be10c67a4284daaa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5cf8cdd8c5b6e8b2b24cc3618ab30bd038780577b5144e91be10c67a4284daaa","first_computed_at":"2026-07-05T07:22:16.391455Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:16.391455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kkZZ9O+Q7x9SwcklQbZVBn2JL6JVm135de9OnFIDFjh+JoPbATsMweO2lfvo9p7k0jrc5qN90+toUOmdAsZIBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:16.392097Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.10275","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78ce37b9fd35831e84eec9896bda7bae4179e54baf68669250a984feda79f730","sha256:d95b9e453f15b022ee3c92fee1b2cbd7fd6daa3e6530b7b41ddd51faca3f8499"],"state_sha256":"650b5d51e7175803e9c7d29b8e0be5a755c4972f10f88db916ae214a6a4f79d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oJrSGgjc52abYV0l1qIKFJeN868rkaVCRvzmtQh1NEQm4ylucInDbVWxDAiMb41/9TuIJTjCOE20zjZ+/bOSCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:50:21.499441Z","bundle_sha256":"e2ea5d5b550200eae8d9318bf1b81bf7a9b6ea4420385575d062e7e5b9e7d9f9"}}