pith:M7465QCI
G-SHARP: Gaussian Surgical Hardware Accelerated Real-time Pipeline
G-SHARP is the first surgical reconstruction pipeline built natively on the open GSplat Gaussian rasterizer to support real-time modeling of deformable tissue.
arxiv:2512.02482 v2 · 2025-12-02 · cs.CV
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Claims
G-SHARP is the first surgical pipeline built natively on the GSplat (Apache-2.0) differentiable Gaussian rasterizer, enabling principled deformation modeling, robust occlusion handling, and high-fidelity reconstructions on the EndoNeRF pulling benchmark with strong speed-accuracy trade-offs suitable for intra-operative use.
That native integration with the commercial GSplat library plus the added deformation and occlusion modules will deliver both the claimed reconstruction quality and real-time performance on actual surgical hardware without requiring non-commercial modifications or extensive per-case tuning.
G-SHARP is a Gaussian splatting pipeline for real-time deformable tissue reconstruction in surgery, built on the open GSplat rasterizer and deployed via Holoscan on NVIDIA edge hardware with claimed state-of-the-art results on the EndoNeRF benchmark.
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| First computed | 2026-05-17T23:39:16.951801Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M7465QCI4M2X5WHZKXBOTJFSAL \
| 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: 67f9eec048e3357ed8f955c2e9a4b202f765deb895141362c9c105cb7306bc3f
Canonical record JSON
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