Pith Number

pith:Q7PM4MKK

pith:2025:Q7PM4MKKBZGXFJTZTDSTTCQ5T3

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High-Quality Spatial Reconstruction and Orthoimage Generation Using Efficient 2D Gaussian Splatting

Jialei He, Jie Yuan, Qian Wang, Zhihao Zhan, Zhituo Tu

2D Gaussian Splatting generates high-precision TDOMs from depth maps without explicit DSM or occlusion detection.

arxiv:2503.19703 v3 · 2025-03-25 · cs.CV · eess.IV

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Claims

C1strongest claim

This work presents an alternative technique rooted in 2D Gaussian Splatting (2DGS), free of explicit DSM and occlusion detection. With depth map generation, spatial information for every pixel within the TDOM is retrieved and can reconstruct the scene with high precision. Divide-and-conquer strategy achieves excellent GS training and rendering with high-resolution TDOMs at a lower resource cost, which preserves higher quality of rendering on complex terrain and thin structure without a decrease in efficiency.

C2weakest assumption

That depth maps extracted from a 2D Gaussian Splatting representation are sufficient by themselves to deliver pixel-accurate spatial information for TDOMs on complex terrain without any additional DSM construction or occlusion handling steps.

C3one line summary

A 2D Gaussian Splatting method with depth map generation and divide-and-conquer strategy produces high-quality TDOMs and spatial reconstructions without explicit DSM or occlusion detection.

References

24 extracted · 24 resolved · 1 Pith anchors

[1] McGraw-Hill Higher Educa- tion, NewYork (2000) 2000

[2] In: IOP Conference Series: Materials Science and Engineering, vol 2020

[3] International Archives of Photogram- metry and Remote Sensing 32, 16–22 (1998) 1998

[4] Photogrammetric Engineering & Remote Sensing 73(1), 25–36 (2007) https: //doi.org/10.14358/pers.73.1.25 2007 · doi:10.14358/pers.73.1.25

[5] IEEE Transactions on pat- tern analysis and machine intelligence 22(7), 675–684 (2000) https://doi.org/10.1109/34 2000 · doi:10.1109/34

Cited by

1 paper in Pith

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Receipt and verification

First computed	2026-07-03T01:16:48.475933Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

87dece314a0e4d72a67998e5398a1d9ef77a3fb8009e10875b0afcf393fcbaf4

Aliases

arxiv: 2503.19703 · arxiv_version: 2503.19703v3 · doi: 10.48550/arxiv.2503.19703 · pith_short_12: Q7PM4MKKBZGX · pith_short_16: Q7PM4MKKBZGXFJTZ · pith_short_8: Q7PM4MKK

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q7PM4MKKBZGXFJTZTDSTTCQ5T3 \
  | 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: 87dece314a0e4d72a67998e5398a1d9ef77a3fb8009e10875b0afcf393fcbaf4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b0bb6e2b4c4841469a1601491df18e4b92ef87a5dac003c6a717ed08b25bb1c7",
    "cross_cats_sorted": [
      "eess.IV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-03-25T14:30:37Z",
    "title_canon_sha256": "f2eb7818e893e512047ccbee40c38af7c50ab371da9f25cdeaca6ca3fb65ef3b"
  },
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  "source": {
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    "kind": "arxiv",
    "version": 3
  }
}