{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:B4BKB7KHWFN6TSYJ3UQVQDPGUY","short_pith_number":"pith:B4BKB7KH","schema_version":"1.0","canonical_sha256":"0f02a0fd47b15be9cb09dd21580de6a63125dc7f8ba76d9d1dfd6a2ab544286d","source":{"kind":"arxiv","id":"2503.12242","version":1},"attestation_state":"computed","paper":{"title":"RePerformer: Immersive Human-centric Volumetric Videos from Playback to Photoreal Reperformance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"ChengCheng Guo, Lan Xu, Marc Habermann, Yingliang Zhang, Yuheng Jiang, Yu Hong, Zhehao Shen, Zhuo Su","submitted_at":"2025-03-15T19:50:18Z","abstract_excerpt":"Human-centric volumetric videos offer immersive free-viewpoint experiences, yet existing methods focus either on replaying general dynamic scenes or animating human avatars, limiting their ability to re-perform general dynamic scenes. In this paper, we present RePerformer, a novel Gaussian-based representation that unifies playback and re-performance for high-fidelity human-centric volumetric videos. Specifically, we hierarchically disentangle the dynamic scenes into motion Gaussians and appearance Gaussians which are associated in the canonical space. We further employ a Morton-based paramete"},"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":"2503.12242","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-15T19:50:18Z","cross_cats_sorted":[],"title_canon_sha256":"99d2fb6676de4b830183cc23e74a97d9c23ad218091a5770d87bd98159f55848","abstract_canon_sha256":"f010a9d42eeb468bb0eeeadf097ec35757b2d490674fac286c282f2947ed65f3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:32:08.255896Z","signature_b64":"qeNS2ug/6CKu/71LavsH+Km2B/Oe/Rrdi47lS2c0T3OBLdZz8OjBQokIA4Ez84RZaCu5kCbxxuHt2NQI9Kj4AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f02a0fd47b15be9cb09dd21580de6a63125dc7f8ba76d9d1dfd6a2ab544286d","last_reissued_at":"2026-07-05T10:32:08.255392Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:32:08.255392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RePerformer: Immersive Human-centric Volumetric Videos from Playback to Photoreal Reperformance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"ChengCheng Guo, Lan Xu, Marc Habermann, Yingliang Zhang, Yuheng Jiang, Yu Hong, Zhehao Shen, Zhuo Su","submitted_at":"2025-03-15T19:50:18Z","abstract_excerpt":"Human-centric volumetric videos offer immersive free-viewpoint experiences, yet existing methods focus either on replaying general dynamic scenes or animating human avatars, limiting their ability to re-perform general dynamic scenes. In this paper, we present RePerformer, a novel Gaussian-based representation that unifies playback and re-performance for high-fidelity human-centric volumetric videos. Specifically, we hierarchically disentangle the dynamic scenes into motion Gaussians and appearance Gaussians which are associated in the canonical space. We further employ a Morton-based paramete"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.12242","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/2503.12242/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":"2503.12242","created_at":"2026-07-05T10:32:08.255453+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.12242v1","created_at":"2026-07-05T10:32:08.255453+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.12242","created_at":"2026-07-05T10:32:08.255453+00:00"},{"alias_kind":"pith_short_12","alias_value":"B4BKB7KHWFN6","created_at":"2026-07-05T10:32:08.255453+00:00"},{"alias_kind":"pith_short_16","alias_value":"B4BKB7KHWFN6TSYJ","created_at":"2026-07-05T10:32:08.255453+00:00"},{"alias_kind":"pith_short_8","alias_value":"B4BKB7KH","created_at":"2026-07-05T10:32:08.255453+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.18583","citing_title":"MUA: Mobile Ultra-detailed Animatable Avatars","ref_index":23,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY","json":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY.json","graph_json":"https://pith.science/api/pith-number/B4BKB7KHWFN6TSYJ3UQVQDPGUY/graph.json","events_json":"https://pith.science/api/pith-number/B4BKB7KHWFN6TSYJ3UQVQDPGUY/events.json","paper":"https://pith.science/paper/B4BKB7KH"},"agent_actions":{"view_html":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY","download_json":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY.json","view_paper":"https://pith.science/paper/B4BKB7KH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.12242&json=true","fetch_graph":"https://pith.science/api/pith-number/B4BKB7KHWFN6TSYJ3UQVQDPGUY/graph.json","fetch_events":"https://pith.science/api/pith-number/B4BKB7KHWFN6TSYJ3UQVQDPGUY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY/action/storage_attestation","attest_author":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY/action/author_attestation","sign_citation":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY/action/citation_signature","submit_replication":"https://pith.science/pith/B4BKB7KHWFN6TSYJ3UQVQDPGUY/action/replication_record"}},"created_at":"2026-07-05T10:32:08.255453+00:00","updated_at":"2026-07-05T10:32:08.255453+00:00"}