SHARC: Reference point driven Spherical Harmonic Representation for Complex Shapes

SHARC: Reference point driven Spherical Harmonic Representation for Complex Shapes | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/sharc-reference-point-driven-spherical-harmonic-representation-for-complex-shapes

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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 sharc-reference-point-driven-spherical-harmonic-representation-for-complex-shapes | Route /signal-canvas/sharc-reference-point-driven-spherical-harmonic-representation-for-complex-shapes

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MCP example

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source_context

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  "query": "SHARC: Reference point driven Spherical Harmonic Representation for Complex Shapes",
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  "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: SHARC: Reference point driven Spherical Harmonic Representation for Complex Shapes

PDF: https://arxiv.org/pdf/2604.01894v1

Repository: https://github.com/POSE-Lab/SHARC

Source count: Pending verification

Coverage: 67%

Last proof check: 2026-04-03T20:30:30.981Z

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Subject: SHARC: Reference point driven Spherical Harmonic Representation for Complex Shapes

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Last commit

4/6/2026

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Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
We propose SHARC, a novel framework that synthesizes arbitrary, genus-agnostic shapes by means of a collection of Spherical Harmonic (SH) representations of distance fields.
Implicationpartial
Directly and explicitly stated in the abstract as the core method.
Verificationpartial
partial
Evidencepartial
To achieve this, we employ a cost function that jointly maximizes sparsity and centrality in terms of positioning, as well as visibility of the surface from their location.
Implicationpartial
Directly stated in the abstract as the method for achieving optimal placement.
Verificationpartial
partial
Evidencepartial
For each selected reference point, we sample the visible distance field to the surface geometry via ray-casting and compute the SH coefficients using the Fast Spherical Harmonic Transform (FSHT).
Implicationpartial
Directly stated in the abstract as a key technical step.
Verificationpartial
partial
Evidencepartial
To enhance geometric fidelity, we apply a configurable low-pass filter to the coefficients...
Implicationpartial
Directly stated in the abstract as a specific enhancement step.
Verificationpartial
partial
Evidencepartial
...and refine the output using a local consistency constraint based on proximity.
Implicationpartial
Directly stated in the abstract as a specific refinement step.
Verificationpartial
partial
Evidencepartial
Evaluation of SHARC against state-of-the-art methods demonstrates that the proposed method outperforms existing approaches in both reconstruction accuracy and time efficiency...
Implicationpartial
Directly stated in the abstract as a result of evaluation, though specific metrics are not provided in the given text.
Verificationpartial
partial
Evidencepartial
Evaluation of SHARC against state-of-the-art methods demonstrates that the proposed method outperforms existing approaches in both reconstruction accuracy and time efficiency...
Implicationpartial
Directly stated in the abstract as a result of evaluation, though specific metrics are not provided in the given text.
Verificationpartial
partial
Evidencepartial
...without sacrificing model parsimony.
Implicationpartial
Directly stated in the abstract, but 'parsimony' is a qualitative term that requires inference about its meaning in context.
Verificationpartial
partial

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SHARC: Reference point driven Spherical Harmonic Representation for Complex Shapes

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