{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:DPH557EGLOXD46RNZRPLG2HBON","short_pith_number":"pith:DPH557EG","schema_version":"1.0","canonical_sha256":"1bcfdefc865bae3e7a2dcc5eb368e17343ac45bf6ca07cafc64d4422b692ce2d","source":{"kind":"arxiv","id":"2312.13770","version":1},"attestation_state":"computed","paper":{"title":"3D Points Splatting for Real-Time Dynamic Hand Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bryan M. Williams, Hossein Rahmani, Sue Black, Zheheng Jiang","submitted_at":"2023-12-21T11:50:49Z","abstract_excerpt":"We present 3D Points Splatting Hand Reconstruction (3D-PSHR), a real-time and photo-realistic hand reconstruction approach. We propose a self-adaptive canonical points upsampling strategy to achieve high-resolution hand geometry representation. This is followed by a self-adaptive deformation that deforms the hand from the canonical space to the target pose, adapting to the dynamic changing of canonical points which, in contrast to the common practice of subdividing the MANO model, offers greater flexibility and results in improved geometry fitting. To model texture, we disentangle the appearan"},"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":"2312.13770","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-21T11:50:49Z","cross_cats_sorted":[],"title_canon_sha256":"6925f08fc4100ac3d3879f7dcd7667c09aad71f40038a833cb689598eafa90bb","abstract_canon_sha256":"dddfbf0a640b4145cbdcecf2dc1ef4c803fd583b046f9ec19140d04dcf3716f6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:26:49.281205Z","signature_b64":"IwVgtyIZEPnsYosxbBPXMf3uvfbfpfTwGMeHbsknUNkYyyGQ/vN2huAP5cTbosGrPnrieHotOAU70wIWiEVcCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1bcfdefc865bae3e7a2dcc5eb368e17343ac45bf6ca07cafc64d4422b692ce2d","last_reissued_at":"2026-07-05T07:26:49.280613Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:26:49.280613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"3D Points Splatting for Real-Time Dynamic Hand Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bryan M. Williams, Hossein Rahmani, Sue Black, Zheheng Jiang","submitted_at":"2023-12-21T11:50:49Z","abstract_excerpt":"We present 3D Points Splatting Hand Reconstruction (3D-PSHR), a real-time and photo-realistic hand reconstruction approach. We propose a self-adaptive canonical points upsampling strategy to achieve high-resolution hand geometry representation. This is followed by a self-adaptive deformation that deforms the hand from the canonical space to the target pose, adapting to the dynamic changing of canonical points which, in contrast to the common practice of subdividing the MANO model, offers greater flexibility and results in improved geometry fitting. To model texture, we disentangle the appearan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.13770","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/2312.13770/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":"2312.13770","created_at":"2026-07-05T07:26:49.280670+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.13770v1","created_at":"2026-07-05T07:26:49.280670+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.13770","created_at":"2026-07-05T07:26:49.280670+00:00"},{"alias_kind":"pith_short_12","alias_value":"DPH557EGLOXD","created_at":"2026-07-05T07:26:49.280670+00:00"},{"alias_kind":"pith_short_16","alias_value":"DPH557EGLOXD46RN","created_at":"2026-07-05T07:26:49.280670+00:00"},{"alias_kind":"pith_short_8","alias_value":"DPH557EG","created_at":"2026-07-05T07:26:49.280670+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2501.19088","citing_title":"JGHand: Joint-Driven Animatable Hand Avater via 3D Gaussian Splatting","ref_index":37,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON","json":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON.json","graph_json":"https://pith.science/api/pith-number/DPH557EGLOXD46RNZRPLG2HBON/graph.json","events_json":"https://pith.science/api/pith-number/DPH557EGLOXD46RNZRPLG2HBON/events.json","paper":"https://pith.science/paper/DPH557EG"},"agent_actions":{"view_html":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON","download_json":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON.json","view_paper":"https://pith.science/paper/DPH557EG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.13770&json=true","fetch_graph":"https://pith.science/api/pith-number/DPH557EGLOXD46RNZRPLG2HBON/graph.json","fetch_events":"https://pith.science/api/pith-number/DPH557EGLOXD46RNZRPLG2HBON/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON/action/storage_attestation","attest_author":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON/action/author_attestation","sign_citation":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON/action/citation_signature","submit_replication":"https://pith.science/pith/DPH557EGLOXD46RNZRPLG2HBON/action/replication_record"}},"created_at":"2026-07-05T07:26:49.280670+00:00","updated_at":"2026-07-05T07:26:49.280670+00:00"}