{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:MITVKHP2RAWFXJTCPGGSLYG666","short_pith_number":"pith:MITVKHP2","canonical_record":{"source":{"id":"1903.11326","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-27T10:11:09Z","cross_cats_sorted":[],"title_canon_sha256":"ee36f5277de824965bfa9d3c2fed65184dec3866dae244132991d58e3aff6573","abstract_canon_sha256":"713a752de3ea4a71c476235cce3fa8c78e439b760cd5de8d51628cf120f570a9"},"schema_version":"1.0"},"canonical_sha256":"6227551dfa882c5ba662798d25e0def78cc43957306d65e3be479dd2276b3d62","source":{"kind":"arxiv","id":"1903.11326","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.11326","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"arxiv_version","alias_value":"1903.11326v1","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.11326","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"pith_short_12","alias_value":"MITVKHP2RAWF","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MITVKHP2RAWFXJTC","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MITVKHP2","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:MITVKHP2RAWFXJTCPGGSLYG666","target":"record","payload":{"canonical_record":{"source":{"id":"1903.11326","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-27T10:11:09Z","cross_cats_sorted":[],"title_canon_sha256":"ee36f5277de824965bfa9d3c2fed65184dec3866dae244132991d58e3aff6573","abstract_canon_sha256":"713a752de3ea4a71c476235cce3fa8c78e439b760cd5de8d51628cf120f570a9"},"schema_version":"1.0"},"canonical_sha256":"6227551dfa882c5ba662798d25e0def78cc43957306d65e3be479dd2276b3d62","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:03.580152Z","signature_b64":"CAHzJi29aUKWcWkaummQUx0Xo35jsdENNex+tvN9KELm1NzEhEWCY+1WKN+l1kS9qrR2UlD2M4B2BHes4aTjAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6227551dfa882c5ba662798d25e0def78cc43957306d65e3be479dd2276b3d62","last_reissued_at":"2026-05-17T23:50:03.579635Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:03.579635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.11326","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":"2026-05-17T23:50:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tvHN98Fy2za5PDCazRHM2S0QYQE++b4ikh5D5b+BhCaO5bozuAasjdsezlLYBSPSrUpZQlQH+AZwbdt0650oAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T01:26:33.481649Z"},"content_sha256":"7ceffb5622e8e2c3fecde59e5af0c10e7f3dc837ec23600b7ccced84658f4adc","schema_version":"1.0","event_id":"sha256:7ceffb5622e8e2c3fecde59e5af0c10e7f3dc837ec23600b7ccced84658f4adc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:MITVKHP2RAWFXJTCPGGSLYG666","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dense Intrinsic Appearance Flow for Human Pose Transfer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chen Change Loy, Chen Huang, Yining Li","submitted_at":"2019-03-27T10:11:09Z","abstract_excerpt":"We present a novel approach for the task of human pose transfer, which aims at synthesizing a new image of a person from an input image of that person and a target pose. We address the issues of limited correspondences identified between keypoints only and invisible pixels due to self-occlusion. Unlike existing methods, we propose to estimate dense and intrinsic 3D appearance flow to better guide the transfer of pixels between poses. In particular, we wish to generate the 3D flow from just the reference and target poses. Training a network for this purpose is non-trivial, especially when the a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11326","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":"2026-05-17T23:50:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bOUQqmQvjsnuJNgFcWbO6ULV0WsHMb4iNU9jzGRfuOowMeGAZiek9uE2l8Mlt6aH0XUW3rdvMxBbsuobd3ZsBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T01:26:33.481996Z"},"content_sha256":"5dc59007d9561b54b6e8a205a7a362d5a5b02aa907b06b77dff4d0164867be22","schema_version":"1.0","event_id":"sha256:5dc59007d9561b54b6e8a205a7a362d5a5b02aa907b06b77dff4d0164867be22"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MITVKHP2RAWFXJTCPGGSLYG666/bundle.json","state_url":"https://pith.science/pith/MITVKHP2RAWFXJTCPGGSLYG666/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MITVKHP2RAWFXJTCPGGSLYG666/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":"2026-06-03T01:26:33Z","links":{"resolver":"https://pith.science/pith/MITVKHP2RAWFXJTCPGGSLYG666","bundle":"https://pith.science/pith/MITVKHP2RAWFXJTCPGGSLYG666/bundle.json","state":"https://pith.science/pith/MITVKHP2RAWFXJTCPGGSLYG666/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MITVKHP2RAWFXJTCPGGSLYG666/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MITVKHP2RAWFXJTCPGGSLYG666","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":"713a752de3ea4a71c476235cce3fa8c78e439b760cd5de8d51628cf120f570a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-27T10:11:09Z","title_canon_sha256":"ee36f5277de824965bfa9d3c2fed65184dec3866dae244132991d58e3aff6573"},"schema_version":"1.0","source":{"id":"1903.11326","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.11326","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"arxiv_version","alias_value":"1903.11326v1","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.11326","created_at":"2026-05-17T23:50:03Z"},{"alias_kind":"pith_short_12","alias_value":"MITVKHP2RAWF","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MITVKHP2RAWFXJTC","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MITVKHP2","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:5dc59007d9561b54b6e8a205a7a362d5a5b02aa907b06b77dff4d0164867be22","target":"graph","created_at":"2026-05-17T23:50:03Z","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 for the task of human pose transfer, which aims at synthesizing a new image of a person from an input image of that person and a target pose. We address the issues of limited correspondences identified between keypoints only and invisible pixels due to self-occlusion. Unlike existing methods, we propose to estimate dense and intrinsic 3D appearance flow to better guide the transfer of pixels between poses. In particular, we wish to generate the 3D flow from just the reference and target poses. Training a network for this purpose is non-trivial, especially when the a","authors_text":"Chen Change Loy, Chen Huang, Yining Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-27T10:11:09Z","title":"Dense Intrinsic Appearance Flow for Human Pose Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11326","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":"sha256:7ceffb5622e8e2c3fecde59e5af0c10e7f3dc837ec23600b7ccced84658f4adc","target":"record","created_at":"2026-05-17T23:50:03Z","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":"713a752de3ea4a71c476235cce3fa8c78e439b760cd5de8d51628cf120f570a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-27T10:11:09Z","title_canon_sha256":"ee36f5277de824965bfa9d3c2fed65184dec3866dae244132991d58e3aff6573"},"schema_version":"1.0","source":{"id":"1903.11326","kind":"arxiv","version":1}},"canonical_sha256":"6227551dfa882c5ba662798d25e0def78cc43957306d65e3be479dd2276b3d62","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6227551dfa882c5ba662798d25e0def78cc43957306d65e3be479dd2276b3d62","first_computed_at":"2026-05-17T23:50:03.579635Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:03.579635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CAHzJi29aUKWcWkaummQUx0Xo35jsdENNex+tvN9KELm1NzEhEWCY+1WKN+l1kS9qrR2UlD2M4B2BHes4aTjAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:03.580152Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.11326","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ceffb5622e8e2c3fecde59e5af0c10e7f3dc837ec23600b7ccced84658f4adc","sha256:5dc59007d9561b54b6e8a205a7a362d5a5b02aa907b06b77dff4d0164867be22"],"state_sha256":"ba23ef467687fffb5648af65f3ba60391486ea850152a23ea4a39bd541457b96"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pufq0eaQztSUMbLKQe1kjtPwvrDAlKD+WVLgSlwX3MiMeUkKuPkBTJqZgK9yj3VP9FXd5c1ZN8MpxsiCKNUUCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T01:26:33.484103Z","bundle_sha256":"e7a0df7191ff326c29972b8321db1094722c7bdba633c39b7caa5f96c83dd1a7"}}