pith:3XCKCX75
AdaptSplat: Adapting Vision Foundation Models for Feed-Forward 3D Gaussian Splatting
A single 1.5-million-parameter adapter added to vision foundation models enables superior feed-forward 3D Gaussian Splatting.
arxiv:2605.10239 v2 · 2026-05-11 · cs.CV
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\pithnumber{3XCKCX75YHLNQEDAYBBQVC257V}
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Record completeness
Claims
introducing a single adapter of only 1.5M parameters into the generic architecture is sufficient to achieve superior performance.
That high-frequency structural priors extracted from shallow features of a vision foundation model backbone can be seamlessly integrated to compensate for low-pass filtering without requiring additional domain-specific fine-tuning or larger training data.
AdaptSplat adds a lightweight Frequency-Preserving Adapter to vision foundation models that extracts direction-aware high-frequency priors and integrates them via positional encodings and residual modulation to improve feed-forward 3D Gaussian Splatting fidelity and cross-domain performance.
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Receipt and verification
| First computed | 2026-05-20T00:04:35.718146Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ddc4a15ffdc1d6d81060c0430a8b5dfd51e1390c5a5d3764c8717067bfb4f021
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3XCKCX75YHLNQEDAYBBQVC257V \
| 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: ddc4a15ffdc1d6d81060c0430a8b5dfd51e1390c5a5d3764c8717067bfb4f021
Canonical record JSON
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