{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:AKNZWYCCCPBZKPWYLOF35PQI35","short_pith_number":"pith:AKNZWYCC","canonical_record":{"source":{"id":"2006.16011","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-29T12:53:58Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"e4d0b89f5ea840a03b575fdb15d8de62b9f28e20e9836919610e67d6338d08f0","abstract_canon_sha256":"975f1210cbac300cc5c3704141b816c807c8bc9857935e82e9d670cd7bcde041"},"schema_version":"1.0"},"canonical_sha256":"029b9b604213c3953ed85b8bbebe08df7aa89c3262d72e478f3453ebffbab7e7","source":{"kind":"arxiv","id":"2006.16011","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.16011","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"arxiv_version","alias_value":"2006.16011v3","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.16011","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"pith_short_12","alias_value":"AKNZWYCCCPBZ","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"pith_short_16","alias_value":"AKNZWYCCCPBZKPWY","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"pith_short_8","alias_value":"AKNZWYCC","created_at":"2026-07-05T02:26:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:AKNZWYCCCPBZKPWYLOF35PQI35","target":"record","payload":{"canonical_record":{"source":{"id":"2006.16011","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-29T12:53:58Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"e4d0b89f5ea840a03b575fdb15d8de62b9f28e20e9836919610e67d6338d08f0","abstract_canon_sha256":"975f1210cbac300cc5c3704141b816c807c8bc9857935e82e9d670cd7bcde041"},"schema_version":"1.0"},"canonical_sha256":"029b9b604213c3953ed85b8bbebe08df7aa89c3262d72e478f3453ebffbab7e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:26:48.764716Z","signature_b64":"rvn22NGnUVLj589aVOFaqBjC11wfPqlbORzy4IZnDZIizXl7E1htl/iIISFG11E09ftSI9OV+V9i4opOw328Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"029b9b604213c3953ed85b8bbebe08df7aa89c3262d72e478f3453ebffbab7e7","last_reissued_at":"2026-07-05T02:26:48.764210Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:26:48.764210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.16011","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:26:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Aj6Jsx7KuGSA5ztPgOo/epzjw2fkGN+dKTP48eyEfLIrySR0gs62HHHPpQTa0KoYYFqzVsUkn7Qb4r3KVdNNCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:10:39.520227Z"},"content_sha256":"4cb2a7679d4f1fed23626f61e98db003ca738842873b3e1d2cd8f789bcf14664","schema_version":"1.0","event_id":"sha256:4cb2a7679d4f1fed23626f61e98db003ca738842873b3e1d2cd8f789bcf14664"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:AKNZWYCCCPBZKPWYLOF35PQI35","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Andreas Geiger, Carsten Rother, Hassan Abu Alhaija, Justus Thies, Matthias Nie{\\ss}ner, Siva Karthik Mustikovela, Varun Jampani","submitted_at":"2020-06-29T12:53:58Z","abstract_excerpt":"Neural rendering techniques promise efficient photo-realistic image synthesis while at the same time providing rich control over scene parameters by learning the physical image formation process. While several supervised methods have been proposed for this task, acquiring a dataset of images with accurately aligned 3D models is very difficult. The main contribution of this work is to lift this restriction by training a neural rendering algorithm from unpaired data. More specifically, we propose an autoencoder for joint generation of realistic images from synthetic 3D models while simultaneousl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.16011","kind":"arxiv","version":3},"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/2006.16011/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":"2026-07-05T02:26:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lx0gfMEDNliUT7efhOkNxSWu4RJGP3kfUJwOiH/pGhjo4RwXqa6JaKVVgAvWMuL1BSZO3GiD880dA9T4xko3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:10:39.520740Z"},"content_sha256":"c22cbb1730208b2d38f437cb63be5859b3073cdb90e813343824558a7781b838","schema_version":"1.0","event_id":"sha256:c22cbb1730208b2d38f437cb63be5859b3073cdb90e813343824558a7781b838"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AKNZWYCCCPBZKPWYLOF35PQI35/bundle.json","state_url":"https://pith.science/pith/AKNZWYCCCPBZKPWYLOF35PQI35/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AKNZWYCCCPBZKPWYLOF35PQI35/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":"2026-08-07T17:10:39Z","links":{"resolver":"https://pith.science/pith/AKNZWYCCCPBZKPWYLOF35PQI35","bundle":"https://pith.science/pith/AKNZWYCCCPBZKPWYLOF35PQI35/bundle.json","state":"https://pith.science/pith/AKNZWYCCCPBZKPWYLOF35PQI35/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AKNZWYCCCPBZKPWYLOF35PQI35/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:AKNZWYCCCPBZKPWYLOF35PQI35","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":"975f1210cbac300cc5c3704141b816c807c8bc9857935e82e9d670cd7bcde041","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-29T12:53:58Z","title_canon_sha256":"e4d0b89f5ea840a03b575fdb15d8de62b9f28e20e9836919610e67d6338d08f0"},"schema_version":"1.0","source":{"id":"2006.16011","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.16011","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"arxiv_version","alias_value":"2006.16011v3","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.16011","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"pith_short_12","alias_value":"AKNZWYCCCPBZ","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"pith_short_16","alias_value":"AKNZWYCCCPBZKPWY","created_at":"2026-07-05T02:26:48Z"},{"alias_kind":"pith_short_8","alias_value":"AKNZWYCC","created_at":"2026-07-05T02:26:48Z"}],"graph_snapshots":[{"event_id":"sha256:c22cbb1730208b2d38f437cb63be5859b3073cdb90e813343824558a7781b838","target":"graph","created_at":"2026-07-05T02:26:48Z","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/2006.16011/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural rendering techniques promise efficient photo-realistic image synthesis while at the same time providing rich control over scene parameters by learning the physical image formation process. While several supervised methods have been proposed for this task, acquiring a dataset of images with accurately aligned 3D models is very difficult. The main contribution of this work is to lift this restriction by training a neural rendering algorithm from unpaired data. More specifically, we propose an autoencoder for joint generation of realistic images from synthetic 3D models while simultaneousl","authors_text":"Andreas Geiger, Carsten Rother, Hassan Abu Alhaija, Justus Thies, Matthias Nie{\\ss}ner, Siva Karthik Mustikovela, Varun Jampani","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-29T12:53:58Z","title":"Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.16011","kind":"arxiv","version":3},"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":"sha256:4cb2a7679d4f1fed23626f61e98db003ca738842873b3e1d2cd8f789bcf14664","target":"record","created_at":"2026-07-05T02:26:48Z","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":"975f1210cbac300cc5c3704141b816c807c8bc9857935e82e9d670cd7bcde041","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-29T12:53:58Z","title_canon_sha256":"e4d0b89f5ea840a03b575fdb15d8de62b9f28e20e9836919610e67d6338d08f0"},"schema_version":"1.0","source":{"id":"2006.16011","kind":"arxiv","version":3}},"canonical_sha256":"029b9b604213c3953ed85b8bbebe08df7aa89c3262d72e478f3453ebffbab7e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"029b9b604213c3953ed85b8bbebe08df7aa89c3262d72e478f3453ebffbab7e7","first_computed_at":"2026-07-05T02:26:48.764210Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:26:48.764210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rvn22NGnUVLj589aVOFaqBjC11wfPqlbORzy4IZnDZIizXl7E1htl/iIISFG11E09ftSI9OV+V9i4opOw328Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:26:48.764716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.16011","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cb2a7679d4f1fed23626f61e98db003ca738842873b3e1d2cd8f789bcf14664","sha256:c22cbb1730208b2d38f437cb63be5859b3073cdb90e813343824558a7781b838"],"state_sha256":"009980c6f618a703cc02690b3a7b24cf27e44eb4e502453b29fb92fe61a545c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z3P64cMGGXaY3HC33rrbryuaD+W0EmIxWh4UW4VYd/Uj0XFiLV77eBWecZciWkb/NZW826KhsxYnXof9+lu2BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T17:10:39.525582Z","bundle_sha256":"dd6aa269f121f490ef93629eec41cf8096766bab546dc75846a466461f86e9ae"}}