pith:NHDDENWP
GuardMarkGS: Unified Ownership Tracing and Edit Deterrence for 3D Gaussian Splatting
A single optimization framework embeds ownership watermarks into 3D Gaussian Splatting while diverting unauthorized edits.
arxiv:2605.12919 v1 · 2026-05-13 · cs.CV
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\pithnumber{NHDDENWPCOJ7ZZ4C5QN2CT44F6}
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Record completeness
Claims
To the best of our knowledge, we present the first unified protection framework for 3DGS that jointly optimizes ownership tracing and unauthorized editing deterrence.
That the combined watermarking and adversarial objectives can be balanced via Gaussian selection without introducing artifacts that advanced editing methods could bypass or that would degrade rendering fidelity below acceptable levels.
GuardMarkGS unifies watermarking and adversarial edit deterrence into a single optimization framework for protecting 3D Gaussian Splatting assets.
References
Formal links
Receipt and verification
| First computed | 2026-05-18T03:09:10.278466Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
69c63236cf1393fce782ec1ba14f9c2fa0172efbc5f812a57e665b89f422e74e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NHDDENWPCOJ7ZZ4C5QN2CT44F6 \
| 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: 69c63236cf1393fce782ec1ba14f9c2fa0172efbc5f812a57e665b89f422e74e
Canonical record JSON
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