{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:6JP5MI2F7Z5NQFN5IBS3C64CWS","short_pith_number":"pith:6JP5MI2F","canonical_record":{"source":{"id":"1805.11714","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-29T21:31:14Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"30fc436aec78370285aa9cae562bf1b3cf92e45581bbd71f9c39d0960731a7c5","abstract_canon_sha256":"a3b3ecfef3c45ce56c182c82de3cd1978d891353e2b7169f5910b718aad0554c"},"schema_version":"1.0"},"canonical_sha256":"f25fd62345fe7ad815bd4065b17b82b4a84bb60f4502eb4f8dda966122bfcaf2","source":{"kind":"arxiv","id":"1805.11714","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.11714","created_at":"2026-05-18T00:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"1805.11714v1","created_at":"2026-05-18T00:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.11714","created_at":"2026-05-18T00:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"6JP5MI2F7Z5N","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6JP5MI2F7Z5NQFN5","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6JP5MI2F","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:6JP5MI2F7Z5NQFN5IBS3C64CWS","target":"record","payload":{"canonical_record":{"source":{"id":"1805.11714","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-29T21:31:14Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"30fc436aec78370285aa9cae562bf1b3cf92e45581bbd71f9c39d0960731a7c5","abstract_canon_sha256":"a3b3ecfef3c45ce56c182c82de3cd1978d891353e2b7169f5910b718aad0554c"},"schema_version":"1.0"},"canonical_sha256":"f25fd62345fe7ad815bd4065b17b82b4a84bb60f4502eb4f8dda966122bfcaf2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:36.797732Z","signature_b64":"2O0VAUN9HI1amMegMsbD3TbY56xyxJK7sXQYr3l00BSbn1A2e4qfdGTJFZG95N8sXXyx4q6GipMb+edR+r3VDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f25fd62345fe7ad815bd4065b17b82b4a84bb60f4502eb4f8dda966122bfcaf2","last_reissued_at":"2026-05-18T00:14:36.797021Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:36.797021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.11714","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:14:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/vJtyHEB/yG+nFMnn4vfeVynonXS/RwtRq5WufSdlDLVd4TwIPjLgtZOT+n7QFfz2uEirqmhHpWfgdMxD7UiBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T16:07:20.666426Z"},"content_sha256":"74dd2f605bf99195a74e49a9ff24d38c87d985d7b8a940f8bbc0793c3e9a7a54","schema_version":"1.0","event_id":"sha256:74dd2f605bf99195a74e49a9ff24d38c87d985d7b8a940f8bbc0793c3e9a7a54"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:6JP5MI2F7Z5NQFN5IBS3C64CWS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Video Portraits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GR"],"primary_cat":"cs.CV","authors_text":"Ayush Tewari, Christian Richardt, Christian Theobalt, Hyeongwoo Kim, Justus Thies, Matthias Nie{\\ss}ner, Michael Zollh\\\"ofer, Pablo Garrido, Patrick P\\'erez, Weipeng Xu","submitted_at":"2018-05-29T21:31:14Z","abstract_excerpt":"We present a novel approach that enables photo-realistic re-animation of portrait videos using only an input video. In contrast to existing approaches that are restricted to manipulations of facial expressions only, we are the first to transfer the full 3D head position, head rotation, face expression, eye gaze, and eye blinking from a source actor to a portrait video of a target actor. The core of our approach is a generative neural network with a novel space-time architecture. The network takes as input synthetic renderings of a parametric face model, based on which it predicts photo-realist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.11714","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:14:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZIi4bmQmSE71oJIVXUGrNGn2CY05yeab8hJxx2JKn19hX3dJ4cZakGm7IhTOydyYpwiOrqHxzexT9yxOJcLKAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T16:07:20.666945Z"},"content_sha256":"6f27aead10ff75ffc3d264d8596b74f7e835c0d04ea7e7d6b01eb8e3957f6866","schema_version":"1.0","event_id":"sha256:6f27aead10ff75ffc3d264d8596b74f7e835c0d04ea7e7d6b01eb8e3957f6866"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6JP5MI2F7Z5NQFN5IBS3C64CWS/bundle.json","state_url":"https://pith.science/pith/6JP5MI2F7Z5NQFN5IBS3C64CWS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6JP5MI2F7Z5NQFN5IBS3C64CWS/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":"2026-05-25T16:07:20Z","links":{"resolver":"https://pith.science/pith/6JP5MI2F7Z5NQFN5IBS3C64CWS","bundle":"https://pith.science/pith/6JP5MI2F7Z5NQFN5IBS3C64CWS/bundle.json","state":"https://pith.science/pith/6JP5MI2F7Z5NQFN5IBS3C64CWS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6JP5MI2F7Z5NQFN5IBS3C64CWS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6JP5MI2F7Z5NQFN5IBS3C64CWS","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":"a3b3ecfef3c45ce56c182c82de3cd1978d891353e2b7169f5910b718aad0554c","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-29T21:31:14Z","title_canon_sha256":"30fc436aec78370285aa9cae562bf1b3cf92e45581bbd71f9c39d0960731a7c5"},"schema_version":"1.0","source":{"id":"1805.11714","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.11714","created_at":"2026-05-18T00:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"1805.11714v1","created_at":"2026-05-18T00:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.11714","created_at":"2026-05-18T00:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"6JP5MI2F7Z5N","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6JP5MI2F7Z5NQFN5","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6JP5MI2F","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:6f27aead10ff75ffc3d264d8596b74f7e835c0d04ea7e7d6b01eb8e3957f6866","target":"graph","created_at":"2026-05-18T00:14:36Z","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"},"paper":{"abstract_excerpt":"We present a novel approach that enables photo-realistic re-animation of portrait videos using only an input video. In contrast to existing approaches that are restricted to manipulations of facial expressions only, we are the first to transfer the full 3D head position, head rotation, face expression, eye gaze, and eye blinking from a source actor to a portrait video of a target actor. The core of our approach is a generative neural network with a novel space-time architecture. The network takes as input synthetic renderings of a parametric face model, based on which it predicts photo-realist","authors_text":"Ayush Tewari, Christian Richardt, Christian Theobalt, Hyeongwoo Kim, Justus Thies, Matthias Nie{\\ss}ner, Michael Zollh\\\"ofer, Pablo Garrido, Patrick P\\'erez, Weipeng Xu","cross_cats":["cs.AI","cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-29T21:31:14Z","title":"Deep Video Portraits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.11714","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":"sha256:74dd2f605bf99195a74e49a9ff24d38c87d985d7b8a940f8bbc0793c3e9a7a54","target":"record","created_at":"2026-05-18T00:14:36Z","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":"a3b3ecfef3c45ce56c182c82de3cd1978d891353e2b7169f5910b718aad0554c","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-29T21:31:14Z","title_canon_sha256":"30fc436aec78370285aa9cae562bf1b3cf92e45581bbd71f9c39d0960731a7c5"},"schema_version":"1.0","source":{"id":"1805.11714","kind":"arxiv","version":1}},"canonical_sha256":"f25fd62345fe7ad815bd4065b17b82b4a84bb60f4502eb4f8dda966122bfcaf2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f25fd62345fe7ad815bd4065b17b82b4a84bb60f4502eb4f8dda966122bfcaf2","first_computed_at":"2026-05-18T00:14:36.797021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:36.797021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2O0VAUN9HI1amMegMsbD3TbY56xyxJK7sXQYr3l00BSbn1A2e4qfdGTJFZG95N8sXXyx4q6GipMb+edR+r3VDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:36.797732Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.11714","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74dd2f605bf99195a74e49a9ff24d38c87d985d7b8a940f8bbc0793c3e9a7a54","sha256:6f27aead10ff75ffc3d264d8596b74f7e835c0d04ea7e7d6b01eb8e3957f6866"],"state_sha256":"1f9784dff8a77e067753840711ad14390a50b246dab8a44362f5da30f459762f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YjImCOLQT7mfvHNzMsSgKdMtZJUVn4h/64/C3VHMspbfn6Urnz84B+oMDzYdHc2tQszrbmZ99g3vTAZaDh2RDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T16:07:20.670716Z","bundle_sha256":"a91de9294d3e23b90b56a02172007cfda31c9cb7911f0d2971cfa4e77b130439"}}