{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EFCSA6EIQW74P6XGV3JTZ2BTH7","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":"6d5b8fa0505d862be61cc0203c3b8d6db669a483ffb6053ca8e48933c5e8961d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-23T09:56:48Z","title_canon_sha256":"a29fd91a6c9302636a0ac4cc78bc7e6919ae03b03a5f4efe308fbc1665ff4ecd"},"schema_version":"1.0","source":{"id":"1811.09410","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.09410","created_at":"2026-05-18T00:00:03Z"},{"alias_kind":"arxiv_version","alias_value":"1811.09410v1","created_at":"2026-05-18T00:00:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.09410","created_at":"2026-05-18T00:00:03Z"},{"alias_kind":"pith_short_12","alias_value":"EFCSA6EIQW74","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EFCSA6EIQW74P6XG","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EFCSA6EI","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:4728bc552ee860b4ab4465a97f91501c8c46433db45ab90b884fef4a69b49569","target":"graph","created_at":"2026-05-18T00:00:03Z","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":"In this paper, we address the problem of reconstructing an object's surface from a single image using generative networks. First, we represent a 3D surface with an aggregation of dense point clouds from multiple views. Each point cloud is embedded in a regular 2D grid aligned on an image plane of a viewpoint, making the point cloud convolution-favored and ordered so as to fit into deep network architectures. The point clouds can be easily triangulated by exploiting connectivities of the 2D grids to form mesh-based surfaces. Second, we propose an encoder-decoder network that generates such kind","authors_text":"Bo Sun, Jinglu Wang, Yan Lu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-23T09:56:48Z","title":"MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.09410","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":"sha256:63b265f03d6decc9d9a0e64fedc9a9f01536f1cb897038c90fffccbe6f24031f","target":"record","created_at":"2026-05-18T00:00:03Z","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":"6d5b8fa0505d862be61cc0203c3b8d6db669a483ffb6053ca8e48933c5e8961d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-23T09:56:48Z","title_canon_sha256":"a29fd91a6c9302636a0ac4cc78bc7e6919ae03b03a5f4efe308fbc1665ff4ecd"},"schema_version":"1.0","source":{"id":"1811.09410","kind":"arxiv","version":1}},"canonical_sha256":"214520788885bfc7fae6aed33ce8333fce89d8fe3238bd825fece89d7be1ad54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"214520788885bfc7fae6aed33ce8333fce89d8fe3238bd825fece89d7be1ad54","first_computed_at":"2026-05-18T00:00:03.476301Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:03.476301Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SFHUh42O7VeY8RFocY3dPHKY1honnAXv45Tf+hG86q327U39oWPvKbhHriD/J7CCaQloViLZcdaUhhV4ugTRCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:03.476775Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.09410","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63b265f03d6decc9d9a0e64fedc9a9f01536f1cb897038c90fffccbe6f24031f","sha256:4728bc552ee860b4ab4465a97f91501c8c46433db45ab90b884fef4a69b49569"],"state_sha256":"100561f1b4430a2e4ce6457178f580dad54b4e06d82a947a422fae63c5554056"}