{"paper":{"title":"G-SHARP: Gaussian Surgical Hardware Accelerated Real-time Pipeline","license":"http://creativecommons.org/licenses/by/4.0/","headline":"G-SHARP is the first surgical reconstruction pipeline built natively on the open GSplat Gaussian rasterizer to support real-time modeling of deformable tissue.","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aravind S. Kumar, Filippo Filicori, Javier G. Tejero, Mahdi Azizian, Ruilong Li, Sean D. Huver, Vishwesh Nath","submitted_at":"2025-12-02T07:18:46Z","abstract_excerpt":"We propose G-SHARP, a commercially compatible, real-time surgical scene reconstruction framework designed for minimally invasive procedures that require fast and accurate 3D modeling of deformable tissue. While recent Gaussian splatting approaches have advanced real-time endoscopic reconstruction, existing implementations often depend on non-commercial derivatives, limiting deployability. G-SHARP overcomes these constraints by being the first surgical pipeline built natively on the GSplat (Apache-2.0) differentiable Gaussian rasterizer, enabling principled deformation modeling, robust occlusio"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"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.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"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.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"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.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"G-SHARP is the first surgical reconstruction pipeline built natively on the open GSplat Gaussian rasterizer to support real-time modeling of deformable tissue.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"09f334c56c9607a679404fe9a1b61975343df45c87e27604ea3d1dd67f975a86"},"source":{"id":"2512.02482","kind":"arxiv","version":2},"verdict":{"id":"260c9ddc-0320-411d-9be6-767fb4efd072","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-17T02:56:48.193004Z","strongest_claim":"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.","one_line_summary":"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.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"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.","pith_extraction_headline":"G-SHARP is the first surgical reconstruction pipeline built natively on the open GSplat Gaussian rasterizer to support real-time modeling of deformable tissue."},"references":{"count":26,"sample":[{"doi":"","year":2022,"title":"Neural rendering for stereo 3d reconstruction of deformable tissues","work_id":"0c4e797f-ccd0-4a7a-b9b4-5bc852cadda4","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Efficient endonerf reconstruction and surgical guidance.PMCID: PMC11098936, 2024","work_id":"6c8565df-92e9-4e8c-bf28-43dafe392e64","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Endogs: Gaussian splatting for real-time endoscopic soft tissue reconstruction.arXiv:2401.11535, 2024","work_id":"28d2c676-7cae-425e-ab2a-fb3312b8a7ee","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Endogaussian: Real-time gaussian splat- ting for dynamic endoscopic scene reconstruction","work_id":"52d25fe2-dd35-4aa6-9df9-3d258962744c","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Endo-4dgs: Endoscopic monoc- ular scene reconstruction with 4d gaussian splatting","work_id":"e4bff750-b16b-4e05-ae24-f0d61321a056","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":26,"snapshot_sha256":"bf775594f11eb04fa9dfca77425a9a2980ce2285cc3ff8dcc3c60899d138d496","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"574b80c4b662e3573b6c65b3699ad73dabd98401b10588e86d4e828bafa39c35"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}