pith:H6SGY2AE
BlitzGS: City-Scale Gaussian Splatting at Lightning Speed
BlitzGS delivers order-of-magnitude faster city-scale 3D Gaussian Splatting training via index-parity GPU sharding, scheduled importance scoring, and LOD/importance culling while matching baseline quality.
arxiv:2605.13794 v1 · 2026-05-13 · cs.GR · cs.CV
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\usepackage{pith}
\pithnumber{H6SGY2AEXDF5BXWXJEDPHXQYPD}
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Claims
On large-scale benchmarks, BlitzGS matches the rendering quality of recent large-scale baselines while delivering an order-of-magnitude speedup, training city-scale scenes in tens of minutes.
That index-parity sharding combined with importance-based culling and LOD gates preserves visual quality equivalent to spatial baselines without introducing new artifacts or visibility errors on city-scale data.
BlitzGS delivers order-of-magnitude faster city-scale 3D Gaussian Splatting training via index-parity GPU sharding, scheduled importance scoring, and LOD/importance culling while matching baseline quality.
Formal links
Receipt and verification
| First computed | 2026-05-18T02:44:15.588953Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3fa46c6804b8cbd0ded74906f3de1878f7d514a844c973a924804c9d50a0174a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H6SGY2AEXDF5BXWXJEDPHXQYPD \
| 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: 3fa46c6804b8cbd0ded74906f3de1878f7d514a844c973a924804c9d50a0174a
Canonical record JSON
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