Pith Number

pith:ENXIMVQN

pith:2026:ENXIMVQNSGFUM4TJ5M3YFDKU3V

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SparseOIT: Improving Order-Independent Transparency 3DGS via Active Set Method

Fanzhen Kong, Wentao Yang, Xiangru Huang, Zejian Kang

SparseOIT applies an active set method to sparse dependencies created by order-independent transparency modifications in 3D Gaussian Splatting for faster transparent reconstruction.

arxiv:2605.13855 v1 · 2026-04-07 · cs.GR · cs.AI · cs.CV

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4 Citations open

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Claims

C1strongest claim

SparseOIT outperforms existing methods in the OIT-family by a large margin and also achieves comparable performance to the state-of-the-art 3DGS reconstruction methods based on volumetric rendering.

C2weakest assumption

The OIT modifications to the rendering equation significantly reduce the inter-independence among individual gaussian splats, resulting in very sparse variable dependencies that can be harnessed by specific optimization techniques such as active set method.

C3one line summary

SparseOIT uses active set optimization on sparse dependencies from OIT-modified 3DGS rendering equations to improve reconstruction speed and quality for transparent materials.

References

32 extracted · 32 resolved · 0 Pith anchors

[1] Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P 2021

[2] Barron, Ben Mildenhall, Dor Verbin, Pratul P 2022

[3] Callahan, Jo ˜ao L 2007

[4] Dashgaussian: Optimiz- ing 3d gaussian splatting in 200 seconds 2025

[5] Paul E. Debevec, Camillo J. Taylor, and Jitendra Malik. Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach. InProceed- ings of SIGGRAPH. ACM, 1996 1996

Receipt and verification

First computed	2026-05-17T23:39:19.557779Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

236e86560d918b467269eb37828d54dd6e0a059d993342ec0d51e2ec1256ec83

Aliases

arxiv: 2605.13855 · arxiv_version: 2605.13855v1 · doi: 10.48550/arxiv.2605.13855 · pith_short_12: ENXIMVQNSGFU · pith_short_16: ENXIMVQNSGFUM4TJ · pith_short_8: ENXIMVQN

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ENXIMVQNSGFUM4TJ5M3YFDKU3V \
  | 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: 236e86560d918b467269eb37828d54dd6e0a059d993342ec0d51e2ec1256ec83

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e574ea204f76ddcb7c133e70d4db3b4dff33882bfa7268e816d298450163408a",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.GR",
    "submitted_at": "2026-04-07T06:04:37Z",
    "title_canon_sha256": "99012db1b21d9b168237edd0da2a55afa2e548c22ee04beac0359776990415ea"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13855",
    "kind": "arxiv",
    "version": 1
  }
}