{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:6WTFKS3QBWWMVMHOKHGFQR36R5","short_pith_number":"pith:6WTFKS3Q","schema_version":"1.0","canonical_sha256":"f5a6554b700daccab0ee51cc58477e8f5dc5a03de737270826f35a5f1bef4345","source":{"kind":"arxiv","id":"2406.02541","version":4},"attestation_state":"computed","paper":{"title":"Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Inkyu Shin, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen, Qihang Yu, Xiaohui Shen","submitted_at":"2024-06-04T17:57:37Z","abstract_excerpt":"Recent advancements in zero-shot video diffusion models have shown promise for text-driven video editing, but challenges remain in achieving high temporal consistency. To address this, we introduce Video-3DGS, a 3D Gaussian Splatting (3DGS)-based video refiner designed to enhance temporal consistency in zero-shot video editors. Our approach utilizes a two-stage 3D Gaussian optimizing process tailored for editing dynamic monocular videos. In the first stage, Video-3DGS employs an improved version of COLMAP, referred to as MC-COLMAP, which processes original videos using a Masked and Clipped app"},"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":"2406.02541","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-04T17:57:37Z","cross_cats_sorted":[],"title_canon_sha256":"2f4a0e9f0c5e4d8ea010399f704b094147a6042a2164405d505bf308667c4571","abstract_canon_sha256":"a06f9355b8531c90eb5b7d53dbd1ee3995b048276a60025cb1c6b5b36f35a736"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:44:37.764119Z","signature_b64":"r0HXnkl3DFdowx3sHXDyqc3nI7lD/d9yUwC8dbvLhTyNM38N6rHiPqCwRKFgLkv1Six5/pbYY3vWCdUsqvQgAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5a6554b700daccab0ee51cc58477e8f5dc5a03de737270826f35a5f1bef4345","last_reissued_at":"2026-07-05T10:44:37.763642Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:44:37.763642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Inkyu Shin, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen, Qihang Yu, Xiaohui Shen","submitted_at":"2024-06-04T17:57:37Z","abstract_excerpt":"Recent advancements in zero-shot video diffusion models have shown promise for text-driven video editing, but challenges remain in achieving high temporal consistency. To address this, we introduce Video-3DGS, a 3D Gaussian Splatting (3DGS)-based video refiner designed to enhance temporal consistency in zero-shot video editors. Our approach utilizes a two-stage 3D Gaussian optimizing process tailored for editing dynamic monocular videos. In the first stage, Video-3DGS employs an improved version of COLMAP, referred to as MC-COLMAP, which processes original videos using a Masked and Clipped app"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02541","kind":"arxiv","version":4},"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/2406.02541/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":"2406.02541","created_at":"2026-07-05T10:44:37.763699+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.02541v4","created_at":"2026-07-05T10:44:37.763699+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02541","created_at":"2026-07-05T10:44:37.763699+00:00"},{"alias_kind":"pith_short_12","alias_value":"6WTFKS3QBWWM","created_at":"2026-07-05T10:44:37.763699+00:00"},{"alias_kind":"pith_short_16","alias_value":"6WTFKS3QBWWMVMHO","created_at":"2026-07-05T10:44:37.763699+00:00"},{"alias_kind":"pith_short_8","alias_value":"6WTFKS3Q","created_at":"2026-07-05T10:44:37.763699+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5","json":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5.json","graph_json":"https://pith.science/api/pith-number/6WTFKS3QBWWMVMHOKHGFQR36R5/graph.json","events_json":"https://pith.science/api/pith-number/6WTFKS3QBWWMVMHOKHGFQR36R5/events.json","paper":"https://pith.science/paper/6WTFKS3Q"},"agent_actions":{"view_html":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5","download_json":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5.json","view_paper":"https://pith.science/paper/6WTFKS3Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.02541&json=true","fetch_graph":"https://pith.science/api/pith-number/6WTFKS3QBWWMVMHOKHGFQR36R5/graph.json","fetch_events":"https://pith.science/api/pith-number/6WTFKS3QBWWMVMHOKHGFQR36R5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5/action/storage_attestation","attest_author":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5/action/author_attestation","sign_citation":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5/action/citation_signature","submit_replication":"https://pith.science/pith/6WTFKS3QBWWMVMHOKHGFQR36R5/action/replication_record"}},"created_at":"2026-07-05T10:44:37.763699+00:00","updated_at":"2026-07-05T10:44:37.763699+00:00"}