{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:77HC6Q6MECCJKBEGGVFCB77FFP","short_pith_number":"pith:77HC6Q6M","schema_version":"1.0","canonical_sha256":"ffce2f43cc2084950486354a20ffe52be7ff506e0fc6ef23543009b043c576d7","source":{"kind":"arxiv","id":"2412.15215","version":2},"attestation_state":"computed","paper":{"title":"EnvGS: Modeling View-Dependent Appearance with Environment Gaussian","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hujun Bao, Sida Peng, Tao Xie, Xiaowei Zhou, Xi Chen, Yiman Xie, Yudong Jin, Yujun Shen, Zhen Xu","submitted_at":"2024-12-19T18:59:57Z","abstract_excerpt":"Reconstructing complex reflections in real-world scenes from 2D images is essential for achieving photorealistic novel view synthesis. Existing methods that utilize environment maps to model reflections from distant lighting often struggle with high-frequency reflection details and fail to account for near-field reflections. In this work, we introduce EnvGS, a novel approach that employs a set of Gaussian primitives as an explicit 3D representation for capturing reflections of environments. These environment Gaussian primitives are incorporated with base Gaussian primitives to model the appear"},"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":"2412.15215","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T18:59:57Z","cross_cats_sorted":[],"title_canon_sha256":"173908e4ed21ddd1c86029ad11f15e094eba6832ab640ff64896eff68f195d88","abstract_canon_sha256":"9c4959fff9cef68244e00a99878b8c2f8bff1f6f74ff9b8fd1a8e2c75ac22300"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:15.613269Z","signature_b64":"n3wNE6tkRG5obcbUJWwiuZrn4Ipu0dhvvE4JLqnjrOW3yy0AFhP2GPumKo05DcuPCqlaZWJ4Yw8XokFx5QMsBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ffce2f43cc2084950486354a20ffe52be7ff506e0fc6ef23543009b043c576d7","last_reissued_at":"2026-07-05T10:40:15.612730Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:15.612730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EnvGS: Modeling View-Dependent Appearance with Environment Gaussian","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hujun Bao, Sida Peng, Tao Xie, Xiaowei Zhou, Xi Chen, Yiman Xie, Yudong Jin, Yujun Shen, Zhen Xu","submitted_at":"2024-12-19T18:59:57Z","abstract_excerpt":"Reconstructing complex reflections in real-world scenes from 2D images is essential for achieving photorealistic novel view synthesis. Existing methods that utilize environment maps to model reflections from distant lighting often struggle with high-frequency reflection details and fail to account for near-field reflections. In this work, we introduce EnvGS, a novel approach that employs a set of Gaussian primitives as an explicit 3D representation for capturing reflections of environments. These environment Gaussian primitives are incorporated with base Gaussian primitives to model the appear"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15215","kind":"arxiv","version":2},"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/2412.15215/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":"2412.15215","created_at":"2026-07-05T10:40:15.612792+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.15215v2","created_at":"2026-07-05T10:40:15.612792+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15215","created_at":"2026-07-05T10:40:15.612792+00:00"},{"alias_kind":"pith_short_12","alias_value":"77HC6Q6MECCJ","created_at":"2026-07-05T10:40:15.612792+00:00"},{"alias_kind":"pith_short_16","alias_value":"77HC6Q6MECCJKBEG","created_at":"2026-07-05T10:40:15.612792+00:00"},{"alias_kind":"pith_short_8","alias_value":"77HC6Q6M","created_at":"2026-07-05T10:40:15.612792+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":6,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.09606","citing_title":"PTIR-GS: Path-Traced Inverse Rendering with Global Illumination in 3D Gaussian Fields","ref_index":31,"is_internal_anchor":false},{"citing_arxiv_id":"2606.09018","citing_title":"MaterialClusterGS: Palette-Based Material Decomposition and Physically-Based Relighting with 2D Gaussian Splatting","ref_index":35,"is_internal_anchor":false},{"citing_arxiv_id":"2606.09606","citing_title":"PTIR-GS: Path-Traced Inverse Rendering with Global Illumination in 3D Gaussian Fields","ref_index":31,"is_internal_anchor":false},{"citing_arxiv_id":"2606.30869","citing_title":"GRay: Ray Tracing 3D Gaussians Near the Speed of Splats","ref_index":30,"is_internal_anchor":false},{"citing_arxiv_id":"2606.09606","citing_title":"PTIR-GS: Path-Traced Inverse Rendering with Global Illumination in 3D Gaussian Fields","ref_index":31,"is_internal_anchor":false},{"citing_arxiv_id":"2606.22481","citing_title":"Lighting-Consistent Object Transfer Across Radiance Fields","ref_index":280,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP","json":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP.json","graph_json":"https://pith.science/api/pith-number/77HC6Q6MECCJKBEGGVFCB77FFP/graph.json","events_json":"https://pith.science/api/pith-number/77HC6Q6MECCJKBEGGVFCB77FFP/events.json","paper":"https://pith.science/paper/77HC6Q6M"},"agent_actions":{"view_html":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP","download_json":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP.json","view_paper":"https://pith.science/paper/77HC6Q6M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.15215&json=true","fetch_graph":"https://pith.science/api/pith-number/77HC6Q6MECCJKBEGGVFCB77FFP/graph.json","fetch_events":"https://pith.science/api/pith-number/77HC6Q6MECCJKBEGGVFCB77FFP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP/action/storage_attestation","attest_author":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP/action/author_attestation","sign_citation":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP/action/citation_signature","submit_replication":"https://pith.science/pith/77HC6Q6MECCJKBEGGVFCB77FFP/action/replication_record"}},"created_at":"2026-07-05T10:40:15.612792+00:00","updated_at":"2026-07-05T10:40:15.612792+00:00"}