{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:S3TFCCZUBR3FK3QRCNLLWUUHKT","short_pith_number":"pith:S3TFCCZU","canonical_record":{"source":{"id":"1706.04306","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-14T03:45:50Z","cross_cats_sorted":[],"title_canon_sha256":"130c6f88e8139bfa18b477c01d89d56dd034b4f8a24aba6fee71ef9b5eb732dd","abstract_canon_sha256":"5f1183d311e30c63bd9ae6bcc496908aeec8affee9e8caaeac2c1f6fb8cd1d72"},"schema_version":"1.0"},"canonical_sha256":"96e6510b340c76556e111356bb528754dd91979b864a637ac04ffefd2e08192b","source":{"kind":"arxiv","id":"1706.04306","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.04306","created_at":"2026-05-18T00:42:23Z"},{"alias_kind":"arxiv_version","alias_value":"1706.04306v1","created_at":"2026-05-18T00:42:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.04306","created_at":"2026-05-18T00:42:23Z"},{"alias_kind":"pith_short_12","alias_value":"S3TFCCZUBR3F","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"S3TFCCZUBR3FK3QR","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"S3TFCCZU","created_at":"2026-05-18T12:31:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:S3TFCCZUBR3FK3QRCNLLWUUHKT","target":"record","payload":{"canonical_record":{"source":{"id":"1706.04306","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-14T03:45:50Z","cross_cats_sorted":[],"title_canon_sha256":"130c6f88e8139bfa18b477c01d89d56dd034b4f8a24aba6fee71ef9b5eb732dd","abstract_canon_sha256":"5f1183d311e30c63bd9ae6bcc496908aeec8affee9e8caaeac2c1f6fb8cd1d72"},"schema_version":"1.0"},"canonical_sha256":"96e6510b340c76556e111356bb528754dd91979b864a637ac04ffefd2e08192b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:23.024505Z","signature_b64":"U5Ej9UubcusOfJBiZpdYxS8WHxdJ21Vz7+YJ2ZRi0fHfI7/utf3m21GzHDu5SCGELy8ozokUUoshjWT0q+aGCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96e6510b340c76556e111356bb528754dd91979b864a637ac04ffefd2e08192b","last_reissued_at":"2026-05-18T00:42:23.024005Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:23.024005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.04306","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":"2026-05-18T00:42:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4cjEpE6kwOS96BPS5q+0wlb9ktsLbTEdwa33VxUD2x8R+eh80OkVyE5XeSS96CHzousyx4zGqp3T/S6rHvp2BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T04:59:47.411853Z"},"content_sha256":"143c0d10b8e4ee264be1ec3375de2cb309bebcfa986057a3286924d6012dd5d6","schema_version":"1.0","event_id":"sha256:143c0d10b8e4ee264be1ec3375de2cb309bebcfa986057a3286924d6012dd5d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:S3TFCCZUBR3FK3QRCNLLWUUHKT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Photo-realistic Facial Texture Transfer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hang Zhang, Kristin J. Dana, Parneet Kaur","submitted_at":"2017-06-14T03:45:50Z","abstract_excerpt":"Style transfer methods have achieved significant success in recent years with the use of convolutional neural networks. However, many of these methods concentrate on artistic style transfer with few constraints on the output image appearance. We address the challenging problem of transferring face texture from a style face image to a content face image in a photorealistic manner without changing the identity of the original content image. Our framework for face texture transfer (FaceTex) augments the prior work of MRF-CNN with a novel facial semantic regularization that incorporates a face pri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.04306","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":"2026-05-18T00:42:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ODWr22L5TgLjviRRP1FKUEwCO+peQt8BXTb3VYAo+oVSyt/INpkjqNzWHr9cuIPMToc0db4O+68sTRmQKYBfAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T04:59:47.412480Z"},"content_sha256":"57d4c1d07f01f608339e264ef4590607eea89bd4ec5c50c46ca586a95a1a9f9e","schema_version":"1.0","event_id":"sha256:57d4c1d07f01f608339e264ef4590607eea89bd4ec5c50c46ca586a95a1a9f9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S3TFCCZUBR3FK3QRCNLLWUUHKT/bundle.json","state_url":"https://pith.science/pith/S3TFCCZUBR3FK3QRCNLLWUUHKT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S3TFCCZUBR3FK3QRCNLLWUUHKT/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":"2026-06-11T04:59:47Z","links":{"resolver":"https://pith.science/pith/S3TFCCZUBR3FK3QRCNLLWUUHKT","bundle":"https://pith.science/pith/S3TFCCZUBR3FK3QRCNLLWUUHKT/bundle.json","state":"https://pith.science/pith/S3TFCCZUBR3FK3QRCNLLWUUHKT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S3TFCCZUBR3FK3QRCNLLWUUHKT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:S3TFCCZUBR3FK3QRCNLLWUUHKT","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":"5f1183d311e30c63bd9ae6bcc496908aeec8affee9e8caaeac2c1f6fb8cd1d72","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-14T03:45:50Z","title_canon_sha256":"130c6f88e8139bfa18b477c01d89d56dd034b4f8a24aba6fee71ef9b5eb732dd"},"schema_version":"1.0","source":{"id":"1706.04306","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.04306","created_at":"2026-05-18T00:42:23Z"},{"alias_kind":"arxiv_version","alias_value":"1706.04306v1","created_at":"2026-05-18T00:42:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.04306","created_at":"2026-05-18T00:42:23Z"},{"alias_kind":"pith_short_12","alias_value":"S3TFCCZUBR3F","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"S3TFCCZUBR3FK3QR","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"S3TFCCZU","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:57d4c1d07f01f608339e264ef4590607eea89bd4ec5c50c46ca586a95a1a9f9e","target":"graph","created_at":"2026-05-18T00:42:23Z","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"},"paper":{"abstract_excerpt":"Style transfer methods have achieved significant success in recent years with the use of convolutional neural networks. However, many of these methods concentrate on artistic style transfer with few constraints on the output image appearance. We address the challenging problem of transferring face texture from a style face image to a content face image in a photorealistic manner without changing the identity of the original content image. Our framework for face texture transfer (FaceTex) augments the prior work of MRF-CNN with a novel facial semantic regularization that incorporates a face pri","authors_text":"Hang Zhang, Kristin J. Dana, Parneet Kaur","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-14T03:45:50Z","title":"Photo-realistic Facial Texture Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.04306","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":"sha256:143c0d10b8e4ee264be1ec3375de2cb309bebcfa986057a3286924d6012dd5d6","target":"record","created_at":"2026-05-18T00:42:23Z","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":"5f1183d311e30c63bd9ae6bcc496908aeec8affee9e8caaeac2c1f6fb8cd1d72","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-14T03:45:50Z","title_canon_sha256":"130c6f88e8139bfa18b477c01d89d56dd034b4f8a24aba6fee71ef9b5eb732dd"},"schema_version":"1.0","source":{"id":"1706.04306","kind":"arxiv","version":1}},"canonical_sha256":"96e6510b340c76556e111356bb528754dd91979b864a637ac04ffefd2e08192b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96e6510b340c76556e111356bb528754dd91979b864a637ac04ffefd2e08192b","first_computed_at":"2026-05-18T00:42:23.024005Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:23.024005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U5Ej9UubcusOfJBiZpdYxS8WHxdJ21Vz7+YJ2ZRi0fHfI7/utf3m21GzHDu5SCGELy8ozokUUoshjWT0q+aGCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:23.024505Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.04306","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:143c0d10b8e4ee264be1ec3375de2cb309bebcfa986057a3286924d6012dd5d6","sha256:57d4c1d07f01f608339e264ef4590607eea89bd4ec5c50c46ca586a95a1a9f9e"],"state_sha256":"62bf26f96f210c03e45451686f4d090b15fbc88c7f7dfee5e1b88124aaba5d05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T93LxfRedwACcUq8nJ+0j7xFgEgviqXVbcsEVhK6jT6DPL7hydz9FJ8iVAUlxQt1+gMjeniEJ6nuvjTX7vwrCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T04:59:47.415900Z","bundle_sha256":"e05b1e62e3412033a8569634282156007f8959134d9700480aa02a0847efa428"}}