{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YGNXNGVZ4X4SSTE2MMOLM23RAV","short_pith_number":"pith:YGNXNGVZ","canonical_record":{"source":{"id":"2407.04461","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-05T12:11:33Z","cross_cats_sorted":[],"title_canon_sha256":"c251ad48c48ed827d9f358b5a6574fac3ed33444719bed29e1fd84ddad5fd5f4","abstract_canon_sha256":"c2345b3985fae322358cdd63376f989242eaeb483132bbc579719d5f11c21b61"},"schema_version":"1.0"},"canonical_sha256":"c19b769ab9e5f9294c9a631cb66b71056e9c0deabf52559ba3276db584f9f6e0","source":{"kind":"arxiv","id":"2407.04461","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.04461","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"arxiv_version","alias_value":"2407.04461v2","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.04461","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"pith_short_12","alias_value":"YGNXNGVZ4X4S","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"pith_short_16","alias_value":"YGNXNGVZ4X4SSTE2","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"pith_short_8","alias_value":"YGNXNGVZ","created_at":"2026-07-05T08:55:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YGNXNGVZ4X4SSTE2MMOLM23RAV","target":"record","payload":{"canonical_record":{"source":{"id":"2407.04461","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-05T12:11:33Z","cross_cats_sorted":[],"title_canon_sha256":"c251ad48c48ed827d9f358b5a6574fac3ed33444719bed29e1fd84ddad5fd5f4","abstract_canon_sha256":"c2345b3985fae322358cdd63376f989242eaeb483132bbc579719d5f11c21b61"},"schema_version":"1.0"},"canonical_sha256":"c19b769ab9e5f9294c9a631cb66b71056e9c0deabf52559ba3276db584f9f6e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:55:37.062527Z","signature_b64":"oS06022qmkO+r5olVDyyQMXqL9hT0HzF2V57Wg1S9Y1NGziVdv/jOWQdKPC01L82J7EYKLORyT/7rjmjaileBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c19b769ab9e5f9294c9a631cb66b71056e9c0deabf52559ba3276db584f9f6e0","last_reissued_at":"2026-07-05T08:55:37.061907Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:55:37.061907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.04461","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:55:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jvuxXM4r956wU14ImoS0oKDOQRbQEB/jSCNeZoBxXByEBQGIxgHbu57rWN9n0XGA2Rjw8tOE8W83l7tVSd9SAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:10:30.675803Z"},"content_sha256":"0154d7375c5b500cb82d650f6cea620e1397923a6a5a2a805e1d31898d4de829","schema_version":"1.0","event_id":"sha256:0154d7375c5b500cb82d650f6cea620e1397923a6a5a2a805e1d31898d4de829"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YGNXNGVZ4X4SSTE2MMOLM23RAV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaohui Yu, Chenjie Cao, Fan Wang, Shang Liu, Wen Qian","submitted_at":"2024-07-05T12:11:33Z","abstract_excerpt":"Recent research on texture synthesis for 3D shapes benefits a lot from dramatically developed 2D text-to-image diffusion models, including inpainting-based and optimization-based approaches. However, these methods ignore the modal gap between the 2D diffusion model and 3D objects, which primarily render 3D objects into 2D images and texture each image separately. In this paper, we revisit the texture synthesis and propose a Variance alignment based 3D-2D Collaborative Denoising framework, dubbed VCD-Texture, to address these issues. Formally, we first unify both 2D and 3D latent feature learni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.04461","kind":"arxiv","version":2},"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/2407.04461/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":"2026-07-05T08:55:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GtcvnUnC5K3eXCIpzbxCvkCnL6a3NzXcVteP4YSvXc4v29YMj+mvKfR+B7GYbZq/sVWKS4VtCIiVeBb3moZ/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:10:30.676180Z"},"content_sha256":"16b908a04372614aece7319a15fb1adb85eacbb9c32c02cd1e9f98127c061522","schema_version":"1.0","event_id":"sha256:16b908a04372614aece7319a15fb1adb85eacbb9c32c02cd1e9f98127c061522"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YGNXNGVZ4X4SSTE2MMOLM23RAV/bundle.json","state_url":"https://pith.science/pith/YGNXNGVZ4X4SSTE2MMOLM23RAV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YGNXNGVZ4X4SSTE2MMOLM23RAV/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":"2026-07-06T15:10:30Z","links":{"resolver":"https://pith.science/pith/YGNXNGVZ4X4SSTE2MMOLM23RAV","bundle":"https://pith.science/pith/YGNXNGVZ4X4SSTE2MMOLM23RAV/bundle.json","state":"https://pith.science/pith/YGNXNGVZ4X4SSTE2MMOLM23RAV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YGNXNGVZ4X4SSTE2MMOLM23RAV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YGNXNGVZ4X4SSTE2MMOLM23RAV","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":"c2345b3985fae322358cdd63376f989242eaeb483132bbc579719d5f11c21b61","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-05T12:11:33Z","title_canon_sha256":"c251ad48c48ed827d9f358b5a6574fac3ed33444719bed29e1fd84ddad5fd5f4"},"schema_version":"1.0","source":{"id":"2407.04461","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.04461","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"arxiv_version","alias_value":"2407.04461v2","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.04461","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"pith_short_12","alias_value":"YGNXNGVZ4X4S","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"pith_short_16","alias_value":"YGNXNGVZ4X4SSTE2","created_at":"2026-07-05T08:55:37Z"},{"alias_kind":"pith_short_8","alias_value":"YGNXNGVZ","created_at":"2026-07-05T08:55:37Z"}],"graph_snapshots":[{"event_id":"sha256:16b908a04372614aece7319a15fb1adb85eacbb9c32c02cd1e9f98127c061522","target":"graph","created_at":"2026-07-05T08:55:37Z","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/2407.04461/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research on texture synthesis for 3D shapes benefits a lot from dramatically developed 2D text-to-image diffusion models, including inpainting-based and optimization-based approaches. However, these methods ignore the modal gap between the 2D diffusion model and 3D objects, which primarily render 3D objects into 2D images and texture each image separately. In this paper, we revisit the texture synthesis and propose a Variance alignment based 3D-2D Collaborative Denoising framework, dubbed VCD-Texture, to address these issues. Formally, we first unify both 2D and 3D latent feature learni","authors_text":"Chaohui Yu, Chenjie Cao, Fan Wang, Shang Liu, Wen Qian","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-05T12:11:33Z","title":"VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.04461","kind":"arxiv","version":2},"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":"sha256:0154d7375c5b500cb82d650f6cea620e1397923a6a5a2a805e1d31898d4de829","target":"record","created_at":"2026-07-05T08:55:37Z","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":"c2345b3985fae322358cdd63376f989242eaeb483132bbc579719d5f11c21b61","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-05T12:11:33Z","title_canon_sha256":"c251ad48c48ed827d9f358b5a6574fac3ed33444719bed29e1fd84ddad5fd5f4"},"schema_version":"1.0","source":{"id":"2407.04461","kind":"arxiv","version":2}},"canonical_sha256":"c19b769ab9e5f9294c9a631cb66b71056e9c0deabf52559ba3276db584f9f6e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c19b769ab9e5f9294c9a631cb66b71056e9c0deabf52559ba3276db584f9f6e0","first_computed_at":"2026-07-05T08:55:37.061907Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:37.061907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oS06022qmkO+r5olVDyyQMXqL9hT0HzF2V57Wg1S9Y1NGziVdv/jOWQdKPC01L82J7EYKLORyT/7rjmjaileBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:37.062527Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.04461","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0154d7375c5b500cb82d650f6cea620e1397923a6a5a2a805e1d31898d4de829","sha256:16b908a04372614aece7319a15fb1adb85eacbb9c32c02cd1e9f98127c061522"],"state_sha256":"a914c4c5e555fc6882ad7e713d3a4532c4237f0b9f20da6bfa4cf353d5e96d01"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C3VJ5Pr2zFGcC9KSRjdLkKl7orYYP5ziRsTFpm4uaBnPPA/+1Pf1LVBhiSM0A37JuAj1JbcyffFj0yK5qui7Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T15:10:30.678177Z","bundle_sha256":"0d39e19fa20294089b36efdfa4af98bd5a2aac9cd546417e497c3f7f15f6ad73"}}