{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:W2GGQVLRTEWDDVIXAFW56DK6B5","short_pith_number":"pith:W2GGQVLR","schema_version":"1.0","canonical_sha256":"b68c685571992c31d517016ddf0d5e0f681712b13937306eadbb7322da856a83","source":{"kind":"arxiv","id":"2605.13093","version":1},"attestation_state":"computed","paper":{"title":"RoSplat: Robust Feed-Forward Pixel-wise Gaussian Splatting for Varying Input Views and High-Resolution Rendering","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"Alpha normalization and a 3D regularizer make pixel-wise Gaussian splatting produce consistent brightness and fewer holes regardless of input view count or output resolution.","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hoang Chuong Nguyen, Jose M. Alvarez, Miaomiao Liu, Renjie Wu","submitted_at":"2026-05-13T07:05:15Z","abstract_excerpt":"Generalizable 3D Gaussian Splatting has recently emerged as an efficient approach for novel-view synthesis, enabling feed-forward synthesis from only a few input views. However, existing pixel-wise feed-forward methods suffer from over-bright renderings when the number of input views varies during inference, as well as insufficient supervision for accurate Gaussian scale estimation, which leads to hole artifacts, particularly in high-resolution renderings. To address these issues, we identify that the over-brightness is caused by the varying number of overlapping Gaussians and propose a simple"},"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":true,"formal_links_present":true},"canonical_record":{"source":{"id":"2605.13093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-13T07:05:15Z","cross_cats_sorted":[],"title_canon_sha256":"bfe0f14a560e51e1adcecdb4273fc159f3634ef8c4ef3e7f1f6e04d1a3e68885","abstract_canon_sha256":"fd201aa8265a0a99e71e9b6c5aa6a020ca5a1926ccab6591b3a2675ee5848723"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:08:58.426598Z","signature_b64":"HW3S0f+gNI7H3T5avFyyADnsoSHjTMQOcpJmsAGQ07zCf4J2CZtuSkuhNes8NE7AT5I4DpTT9bOlr6LLaoYxCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b68c685571992c31d517016ddf0d5e0f681712b13937306eadbb7322da856a83","last_reissued_at":"2026-05-18T03:08:58.426046Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:08:58.426046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RoSplat: Robust Feed-Forward Pixel-wise Gaussian Splatting for Varying Input Views and High-Resolution Rendering","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"Alpha normalization and a 3D regularizer make pixel-wise Gaussian splatting produce consistent brightness and fewer holes regardless of input view count or output resolution.","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hoang Chuong Nguyen, Jose M. Alvarez, Miaomiao Liu, Renjie Wu","submitted_at":"2026-05-13T07:05:15Z","abstract_excerpt":"Generalizable 3D Gaussian Splatting has recently emerged as an efficient approach for novel-view synthesis, enabling feed-forward synthesis from only a few input views. However, existing pixel-wise feed-forward methods suffer from over-bright renderings when the number of input views varies during inference, as well as insufficient supervision for accurate Gaussian scale estimation, which leads to hole artifacts, particularly in high-resolution renderings. To address these issues, we identify that the over-brightness is caused by the varying number of overlapping Gaussians and propose a simple"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"we identify that the over-brightness is caused by the varying number of overlapping Gaussians and propose a simple alpha normalization strategy to maintain brightness consistency across different number of input views. In addition, we introduce an auxiliary 3D sampling-based regularizer to improve Gaussian scale estimation, thereby mitigating hole artifacts in high-resolution rendering.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The assumption that over-brightness stems solely from varying numbers of overlapping Gaussians and that the proposed alpha normalization plus 3D regularizer will generalize without introducing new artifacts on unseen scenes or data distributions.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"RoSplat adds alpha normalization for brightness consistency across varying input views and a 3D sampling regularizer to mitigate hole artifacts in high-resolution feed-forward Gaussian splatting.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Alpha normalization and a 3D regularizer make pixel-wise Gaussian splatting produce consistent brightness and fewer holes regardless of input view count or output resolution.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"b0be212524eb9fdbf0ec40add8476ee15acc1bc05b959d2b2bf30304048a3f9a"},"source":{"id":"2605.13093","kind":"arxiv","version":1},"verdict":{"id":"a36c6360-cc01-45f1-b135-5e4d6df62222","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T19:58:12.242402Z","strongest_claim":"we identify that the over-brightness is caused by the varying number of overlapping Gaussians and propose a simple alpha normalization strategy to maintain brightness consistency across different number of input views. In addition, we introduce an auxiliary 3D sampling-based regularizer to improve Gaussian scale estimation, thereby mitigating hole artifacts in high-resolution rendering.","one_line_summary":"RoSplat adds alpha normalization for brightness consistency across varying input views and a 3D sampling regularizer to mitigate hole artifacts in high-resolution feed-forward Gaussian splatting.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The assumption that over-brightness stems solely from varying numbers of overlapping Gaussians and that the proposed alpha normalization plus 3D regularizer will generalize without introducing new artifacts on unseen scenes or data distributions.","pith_extraction_headline":"Alpha normalization and a 3D regularizer make pixel-wise Gaussian splatting produce consistent brightness and fewer holes regardless of input view count or output resolution."},"references":{"count":30,"sample":[{"doi":"","year":2021,"title":"Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields","work_id":"06181443-2ada-4ffb-8f93-dbe50d117b8f","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2023,"title":"Zip-nerf: Anti- aliased grid-based neural radiance fields","work_id":"50cc7302-9c45-4628-bb11-faa781c35ea7","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"Textured gaussians for enhanced 3d scene appearance modeling","work_id":"0fec5157-cbc4-427b-8c52-bedfa56e21eb","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction","work_id":"9f63c70b-67ae-46ef-812f-4660a72d3e56","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2021,"title":"Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo","work_id":"1f81c980-9a93-4ccb-9bbd-c7a269b7c44b","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":30,"snapshot_sha256":"3edd025d38fb5ec651edc51ee806293e3ae7abec90885a896352ecdbce2508a7","internal_anchors":1},"formal_canon":{"evidence_count":2,"snapshot_sha256":"ff1e5f09fa31ff1443a1641c1c5b9cc196369e22fd3c8ea952b8529a088439ab"},"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":"2605.13093","created_at":"2026-05-18T03:08:58.426125+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.13093v1","created_at":"2026-05-18T03:08:58.426125+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.13093","created_at":"2026-05-18T03:08:58.426125+00:00"},{"alias_kind":"pith_short_12","alias_value":"W2GGQVLRTEWD","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_16","alias_value":"W2GGQVLRTEWDDVIX","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_8","alias_value":"W2GGQVLR","created_at":"2026-05-18T12:33:37.589309+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":2,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5","json":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5.json","graph_json":"https://pith.science/api/pith-number/W2GGQVLRTEWDDVIXAFW56DK6B5/graph.json","events_json":"https://pith.science/api/pith-number/W2GGQVLRTEWDDVIXAFW56DK6B5/events.json","paper":"https://pith.science/paper/W2GGQVLR"},"agent_actions":{"view_html":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5","download_json":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5.json","view_paper":"https://pith.science/paper/W2GGQVLR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.13093&json=true","fetch_graph":"https://pith.science/api/pith-number/W2GGQVLRTEWDDVIXAFW56DK6B5/graph.json","fetch_events":"https://pith.science/api/pith-number/W2GGQVLRTEWDDVIXAFW56DK6B5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5/action/storage_attestation","attest_author":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5/action/author_attestation","sign_citation":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5/action/citation_signature","submit_replication":"https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5/action/replication_record"}},"created_at":"2026-05-18T03:08:58.426125+00:00","updated_at":"2026-05-18T03:08:58.426125+00:00"}