{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:WLGE7SXPAFYS7WR2PHSNNL4CZE","short_pith_number":"pith:WLGE7SXP","schema_version":"1.0","canonical_sha256":"b2cc4fcaef01712fda3a79e4d6af82c9273bf00b21193d198a4bc91652ef2e85","source":{"kind":"arxiv","id":"2310.14487","version":1},"attestation_state":"computed","paper":{"title":"VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Fukun Yin, Gang Yu, Jiayuan Fan, Tao Chen, Wen Liu, Xin Chen, Yiying Yang","submitted_at":"2023-10-23T01:41:38Z","abstract_excerpt":"Recent advancements in implicit neural representations have contributed to high-fidelity surface reconstruction and photorealistic novel view synthesis. However, the computational complexity inherent in these methodologies presents a substantial impediment, constraining the attainable frame rates and resolutions in practical applications. In response to this predicament, we propose VQ-NeRF, an effective and efficient pipeline for enhancing implicit neural representations via vector quantization. The essence of our method involves reducing the sampling space of NeRF to a lower resolution and su"},"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":"2310.14487","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-23T01:41:38Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3c1bda3d339780ab5e0ae0a4ca03117df1eb50c60cec6671c29ae63a60d21c24","abstract_canon_sha256":"f777d14eac81437730add9df7ee687eea6df7b531c7905856a948c2c89f7c9f3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:03:44.967359Z","signature_b64":"YnzThW7w5yR0ggpiiwygK1AQmrOpAN1LySgByb7KkD20wbrJFwNTfOcxJth6L7Iej5MO3oxaB4ErCRw/SzbVBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2cc4fcaef01712fda3a79e4d6af82c9273bf00b21193d198a4bc91652ef2e85","last_reissued_at":"2026-07-05T07:03:44.966856Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:03:44.966856Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Fukun Yin, Gang Yu, Jiayuan Fan, Tao Chen, Wen Liu, Xin Chen, Yiying Yang","submitted_at":"2023-10-23T01:41:38Z","abstract_excerpt":"Recent advancements in implicit neural representations have contributed to high-fidelity surface reconstruction and photorealistic novel view synthesis. However, the computational complexity inherent in these methodologies presents a substantial impediment, constraining the attainable frame rates and resolutions in practical applications. In response to this predicament, we propose VQ-NeRF, an effective and efficient pipeline for enhancing implicit neural representations via vector quantization. The essence of our method involves reducing the sampling space of NeRF to a lower resolution and su"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.14487","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/2310.14487/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":"2310.14487","created_at":"2026-07-05T07:03:44.966918+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.14487v1","created_at":"2026-07-05T07:03:44.966918+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.14487","created_at":"2026-07-05T07:03:44.966918+00:00"},{"alias_kind":"pith_short_12","alias_value":"WLGE7SXPAFYS","created_at":"2026-07-05T07:03:44.966918+00:00"},{"alias_kind":"pith_short_16","alias_value":"WLGE7SXPAFYS7WR2","created_at":"2026-07-05T07:03:44.966918+00:00"},{"alias_kind":"pith_short_8","alias_value":"WLGE7SXP","created_at":"2026-07-05T07:03:44.966918+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/WLGE7SXPAFYS7WR2PHSNNL4CZE","json":"https://pith.science/pith/WLGE7SXPAFYS7WR2PHSNNL4CZE.json","graph_json":"https://pith.science/api/pith-number/WLGE7SXPAFYS7WR2PHSNNL4CZE/graph.json","events_json":"https://pith.science/api/pith-number/WLGE7SXPAFYS7WR2PHSNNL4CZE/events.json","paper":"https://pith.science/paper/WLGE7SXP"},"agent_actions":{"view_html":"https://pith.science/pith/WLGE7SXPAFYS7WR2PHSNNL4CZE","download_json":"https://pith.science/pith/WLGE7SXPAFYS7WR2PHSNNL4CZE.json","view_paper":"https://pith.science/paper/WLGE7SXP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.14487&json=true","fetch_graph":"https://pith.science/api/pith-number/WLGE7SXPAFYS7WR2PHSNNL4CZE/graph.json","fetch_events":"https://pith.science/api/pith-number/WLGE7SXPAFYS7WR2PHSNNL4CZE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WLGE7SXPAFYS7WR2PHSNNL4CZE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WLGE7SXPAFYS7WR2PHSNNL4CZE/action/storage_attestation","attest_author":"https://pith.science/pith/WLGE7SXPAFYS7WR2PHSNNL4CZE/action/author_attestation","sign_citation":"https://pith.science/pith/WLGE7SXPAFYS7WR2PHSNNL4CZE/action/citation_signature","submit_replication":"https://pith.science/pith/WLGE7SXPAFYS7WR2PHSNNL4CZE/action/replication_record"}},"created_at":"2026-07-05T07:03:44.966918+00:00","updated_at":"2026-07-05T07:03:44.966918+00:00"}