pith:RAVAFULX
P2GS: Physical Prior-guided Gaussian Splatting for Photometrically Consistent Urban Reconstruction
P2GS jointly decomposes a view-invariant linear HDR radiance field, per-view exposure scales, and tone-mapping functions from LDR images to fix photometric inconsistencies in 3D Gaussian Splatting for urban scenes.
arxiv:2605.16925 v1 · 2026-05-16 · cs.CV
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Claims
P2GS jointly decomposes a view-invariant linear HDR radiance field, per-view exposure scales, and tone-mapping functions from only LDR images without HDR supervision, yielding a radiance field robust to inter-camera illumination differences while preserving real-time efficiency.
The physical image-formation process can be accurately inverted by jointly optimizing a shared linear HDR radiance field together with per-view exposure scales and tone-mapping functions from LDR observations alone, with relative-exposure consistency and HDR-domain regularization sufficient to prevent degenerate solutions.
P2GS jointly decomposes LDR images into a view-invariant linear HDR radiance field, per-view exposure scales, and tone-mapping functions without HDR supervision to enforce photometric consistency in urban Gaussian Splatting.
References
Receipt and verification
| First computed | 2026-05-20T00:03:30.999579Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
882a02d17734b8497f775cc32d5e017730fd1971c345894c9491876192747aa2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RAVAFULXGS4ES73XLTBS2XQBO4 \
| 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: 882a02d17734b8497f775cc32d5e017730fd1971c345894c9491876192747aa2
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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"submitted_at": "2026-05-16T10:36:23Z",
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