Pith Number

pith:FOWPAHKE

pith:2026:FOWPAHKEP7E22R2WOUGYTLWA2H

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2D-SuGaR: Surface-Aware Gaussian Splatting for Geometrically Accurate Mesh Reconstruction

Divyam Sheth, Jinjoo Ha, Justus Thies, Mirela Ostrek, Prajwal Gupta C. R.

Monocular depth and normal priors guide 2D Gaussian Splatting to produce more accurate surface meshes from multi-view images.

arxiv:2605.00569 v1 · 2026-05-01 · cs.CV · cs.GR

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\usepackage{pith}
\pithnumber{FOWPAHKEP7E22R2WOUGYTLWA2H}

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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 evaluate our method on the DTU dataset, where it achieves state-of-the-art results in mesh reconstruction while preserving high-quality novel view synthesis.

C2weakest assumption

Monocular depth and normal priors are sufficiently accurate to guide Gaussian initialization and enable effective pruning of degenerate primitives, particularly when SfM-based initializations are poor.

C3one line summary

2D-SuGaR improves 2D Gaussian Splatting with monocular priors and targeted initialization/pruning to achieve state-of-the-art mesh reconstruction on the DTU dataset while retaining high-quality novel view synthesis.

References

12 extracted · 12 resolved · 0 Pith anchors

[1] IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

[2] 3D Gaussian splatting for real-time radiance field rendering. , author=. ACM Trans. Graph. , volume=

[3] ACM SIGGRAPH 2024 conference papers , pages= 2024

[4] Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

[5] NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis , author=. 2020 , booktitle= 2020

Receipt and verification

First computed	2026-06-19T16:12:54.582497Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2bacf01d447fc9ad4756750d89aec0d1e0952bf60db58125305031c8d3eb8530

Aliases

arxiv: 2605.00569 · arxiv_version: 2605.00569v1 · doi: 10.48550/arxiv.2605.00569 · pith_short_12: FOWPAHKEP7E2 · pith_short_16: FOWPAHKEP7E22R2W · pith_short_8: FOWPAHKE

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FOWPAHKEP7E22R2WOUGYTLWA2H \
  | 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: 2bacf01d447fc9ad4756750d89aec0d1e0952bf60db58125305031c8d3eb8530

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "dff531a02ef691d44b9b5a8c775f24dbb1d26d63cf06ac55753fcee2ca3429e0",
    "cross_cats_sorted": [
      "cs.GR"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-01T11:09:29Z",
    "title_canon_sha256": "89ac24d490144866d93a1cfd6ed3aa8dfff3a7d4f87c9fac1c2595b8806e31ec"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.00569",
    "kind": "arxiv",
    "version": 1
  }
}