FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/fact-gs-fast-and-scalable-ct-reconstruction-with-gaussian-splatting

stale

Proof freshness: stale
Proof status: partial
Display score: 7/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 67%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID fact-gs-fast-and-scalable-ct-reconstruction-with-gaussian-splatting | Route /signal-canvas/fact-gs-fast-and-scalable-ct-reconstruction-with-gaussian-splatting

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/fact-gs-fast-and-scalable-ct-reconstruction-with-gaussian-splatting

MCP example

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source_context

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  "query": "FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting",
  "normalized_query": "2604.01844",
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  "paper_ref": "fact-gs-fast-and-scalable-ct-reconstruction-with-gaussian-splatting",
  "topic_slug": null,
  "benchmark_ref": null,
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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

PDF: https://arxiv.org/pdf/2604.01844v1

Repository: https://github.com/PaPieta/fact-gs

Source count: Pending verification

Coverage: 67%

Last proof check: 2026-04-03T20:30:30.544Z

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Ready for execution: FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

/buildability/fact-gs-fast-and-scalable-ct-reconstruction-with-gaussian-splatting

Build Nowready

Subject: FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

Verdict

Build Now

Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

Preparing verified analysis

GitHub Code Pulse

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Health

Last commit

5/12/2026

Forks

Open repository

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
FaCT-GS is over 4X faster than the State of the Art GS CT reconstruction on standard 512x512 projections
Implicationpartial
Directly stated in abstract with specific numeric comparison
Verificationpartial
partial
Evidencepartial
over 13X faster on 2k projections
Implicationpartial
Directly stated in abstract with specific numeric comparison
Verificationpartial
partial
Evidencepartial
scales well with projection and output volume size
Implicationpartial
Directly stated in abstract as a key feature of the method
Verificationpartial
partial
Evidencepartial
the improved voxelization enables rapid fitting of Gaussians to pre-existing volumes
Implicationpartial
Directly stated in abstract as a technical capability
Verificationpartial
partial
Evidencepartial
which can serve as a prior for warm-starting the reconstruction
Implicationpartial
Directly stated in abstract as an application of the improved voxelization
Verificationpartial
partial
Evidencepartial
or simply as an alternative, compressed representation
Implicationpartial
Directly stated in abstract as an application of the improved voxelization
Verificationpartial
partial
Evidencepartial
the benefits of GS are typically not substantial enough to motivate a transition from well-established reconstruction algorithms
Implicationpartial
Directly stated in abstract as motivation for the work
Verificationpartial
partial
Evidencepartial
This paper addresses the most significant remaining limitations of the GS-based approach
Implicationpartial
Directly stated in abstract as the paper's contribution
Verificationpartial
partial

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FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

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