{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:FWLAJ5LC5YZDRUA2AXKNEIXLUG","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":"e8d0f34c1b63a754a194dd866262b6b0d0dd51519c8764ae2409a0f6e41dbe15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-05T02:24:03Z","title_canon_sha256":"db65526165d609a46dc53728757b14608dc5b2f6ec86e4962b9abf0e84539fa1"},"schema_version":"1.0","source":{"id":"1804.01654","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.01654","created_at":"2026-05-18T00:08:59Z"},{"alias_kind":"arxiv_version","alias_value":"1804.01654v2","created_at":"2026-05-18T00:08:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.01654","created_at":"2026-05-18T00:08:59Z"},{"alias_kind":"pith_short_12","alias_value":"FWLAJ5LC5YZD","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"FWLAJ5LC5YZDRUA2","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"FWLAJ5LC","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:404c54598486b16670741ee4f9a514f18588fbbfb5f33fe0a5a2c80cf0bb6128","target":"graph","created_at":"2026-05-18T00:08:59Z","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 propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from a single color image. Limited by the nature of deep neural network, previous methods usually represent a 3D shape in volume or point cloud, and it is non-trivial to convert them to the more ready-to-use mesh model. Unlike the existing methods, our network represents 3D mesh in a graph-based convolutional neural network and produces correct geometry by progressively deforming an ellipsoid, leveraging perceptual features extracted from the input image. We adopt a coarse-to-fine strategy to make t","authors_text":"Nanyang Wang, Wei Liu, Yanwei Fu, Yinda Zhang, Yu-Gang Jiang, Zhuwen Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-05T02:24:03Z","title":"Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.01654","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":"sha256:304a5ed4fe325f12787ca24df409482a55da1246791712e290913110a2f8b183","target":"record","created_at":"2026-05-18T00:08:59Z","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":"e8d0f34c1b63a754a194dd866262b6b0d0dd51519c8764ae2409a0f6e41dbe15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-05T02:24:03Z","title_canon_sha256":"db65526165d609a46dc53728757b14608dc5b2f6ec86e4962b9abf0e84539fa1"},"schema_version":"1.0","source":{"id":"1804.01654","kind":"arxiv","version":2}},"canonical_sha256":"2d9604f562ee3238d01a05d4d222eba186b036239bcdee0679a718e1ad5fa206","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d9604f562ee3238d01a05d4d222eba186b036239bcdee0679a718e1ad5fa206","first_computed_at":"2026-05-18T00:08:59.990351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:59.990351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tR+3ja1GXcmTvIKiB2hbvm2wL5NqYtBvlvJzxYzY5rLnribGE3BNuQPpCQx5cidW7XmO847drrzI3D1xh8B4Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:59.991091Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.01654","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:304a5ed4fe325f12787ca24df409482a55da1246791712e290913110a2f8b183","sha256:404c54598486b16670741ee4f9a514f18588fbbfb5f33fe0a5a2c80cf0bb6128"],"state_sha256":"25e2936a903be1859c425e8364f7f5d2b7f3f493688d90d308876430f5da7894"}