Pith Number

pith:W2GGQVLR

pith:2026:W2GGQVLRTEWDDVIXAFW56DK6B5

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RoSplat: Robust Feed-Forward Pixel-wise Gaussian Splatting for Varying Input Views and High-Resolution Rendering

Hoang Chuong Nguyen, Jose M. Alvarez, Miaomiao Liu, Renjie Wu

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.

arxiv:2605.13093 v1 · 2026-05-13 · cs.CV

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3 Author claim open · sign in to claim

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest 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.

C2weakest 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.

C3one 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.

References

30 extracted · 30 resolved · 1 Pith anchors

[1] Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields 2021

[2] Zip-nerf: Anti- aliased grid-based neural radiance fields 2023

[3] Textured gaussians for enhanced 3d scene appearance modeling 2025

[4] pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction 2024

[5] Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo 2021

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T03:08:58.426046Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b68c685571992c31d517016ddf0d5e0f681712b13937306eadbb7322da856a83

Aliases

arxiv: 2605.13093 · arxiv_version: 2605.13093v1 · doi: 10.48550/arxiv.2605.13093 · pith_short_12: W2GGQVLRTEWD · pith_short_16: W2GGQVLRTEWDDVIX · pith_short_8: W2GGQVLR

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/W2GGQVLRTEWDDVIXAFW56DK6B5 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b68c685571992c31d517016ddf0d5e0f681712b13937306eadbb7322da856a83

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fd201aa8265a0a99e71e9b6c5aa6a020ca5a1926ccab6591b3a2675ee5848723",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T07:05:15Z",
    "title_canon_sha256": "bfe0f14a560e51e1adcecdb4273fc159f3634ef8c4ef3e7f1f6e04d1a3e68885"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13093",
    "kind": "arxiv",
    "version": 1
  }
}