{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:IHIB4NHK3F33B2EWDRND4TPUGY","short_pith_number":"pith:IHIB4NHK","schema_version":"1.0","canonical_sha256":"41d01e34ead977b0e8961c5a3e4df43611162f089df7e9b74f44679e59348fab","source":{"kind":"arxiv","id":"2306.00987","version":1},"attestation_state":"computed","paper":{"title":"StyleGAN knows Normal, Depth, Albedo, and More","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Anand Bhattad, D.A. Forsyth, Daniel McKee, Derek Hoiem","submitted_at":"2023-06-01T17:59:57Z","abstract_excerpt":"Intrinsic images, in the original sense, are image-like maps of scene properties like depth, normal, albedo or shading. This paper demonstrates that StyleGAN can easily be induced to produce intrinsic images. The procedure is straightforward. We show that, if StyleGAN produces $G({w})$ from latents ${w}$, then for each type of intrinsic image, there is a fixed offset ${d}_c$ so that $G({w}+{d}_c)$ is that type of intrinsic image for $G({w})$. Here ${d}_c$ is {\\em independent of ${w}$}. The StyleGAN we used was pretrained by others, so this property is not some accident of our training regime. "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2306.00987","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-01T17:59:57Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"cb7ca322bbdea378a2aeedfa10e05b1e1fe244ba1d62152643eaa78c211366a7","abstract_canon_sha256":"4695177815edf13a3d79322d8ac21b18255632c89e20d3875505dc50eb5601ce"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:16:34.053775Z","signature_b64":"Q7gLshzwtiVouMKc1v15E9T3adeDtXaw59rC5UbjFGFiW6osGeD15b/gEDZmfoENRCm/whi9y1Hj8BnlJl3zAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41d01e34ead977b0e8961c5a3e4df43611162f089df7e9b74f44679e59348fab","last_reissued_at":"2026-07-05T06:16:34.053243Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:16:34.053243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"StyleGAN knows Normal, Depth, Albedo, and More","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Anand Bhattad, D.A. Forsyth, Daniel McKee, Derek Hoiem","submitted_at":"2023-06-01T17:59:57Z","abstract_excerpt":"Intrinsic images, in the original sense, are image-like maps of scene properties like depth, normal, albedo or shading. This paper demonstrates that StyleGAN can easily be induced to produce intrinsic images. The procedure is straightforward. We show that, if StyleGAN produces $G({w})$ from latents ${w}$, then for each type of intrinsic image, there is a fixed offset ${d}_c$ so that $G({w}+{d}_c)$ is that type of intrinsic image for $G({w})$. Here ${d}_c$ is {\\em independent of ${w}$}. The StyleGAN we used was pretrained by others, so this property is not some accident of our training regime. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.00987","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2306.00987/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2306.00987","created_at":"2026-07-05T06:16:34.053303+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.00987v1","created_at":"2026-07-05T06:16:34.053303+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.00987","created_at":"2026-07-05T06:16:34.053303+00:00"},{"alias_kind":"pith_short_12","alias_value":"IHIB4NHK3F33","created_at":"2026-07-05T06:16:34.053303+00:00"},{"alias_kind":"pith_short_16","alias_value":"IHIB4NHK3F33B2EW","created_at":"2026-07-05T06:16:34.053303+00:00"},{"alias_kind":"pith_short_8","alias_value":"IHIB4NHK","created_at":"2026-07-05T06:16:34.053303+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2505.15263","citing_title":"gen2seg: Generative Models Enable Generalizable Instance Segmentation","ref_index":3,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY","json":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY.json","graph_json":"https://pith.science/api/pith-number/IHIB4NHK3F33B2EWDRND4TPUGY/graph.json","events_json":"https://pith.science/api/pith-number/IHIB4NHK3F33B2EWDRND4TPUGY/events.json","paper":"https://pith.science/paper/IHIB4NHK"},"agent_actions":{"view_html":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY","download_json":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY.json","view_paper":"https://pith.science/paper/IHIB4NHK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.00987&json=true","fetch_graph":"https://pith.science/api/pith-number/IHIB4NHK3F33B2EWDRND4TPUGY/graph.json","fetch_events":"https://pith.science/api/pith-number/IHIB4NHK3F33B2EWDRND4TPUGY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY/action/storage_attestation","attest_author":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY/action/author_attestation","sign_citation":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY/action/citation_signature","submit_replication":"https://pith.science/pith/IHIB4NHK3F33B2EWDRND4TPUGY/action/replication_record"}},"created_at":"2026-07-05T06:16:34.053303+00:00","updated_at":"2026-07-05T06:16:34.053303+00:00"}