AIPrimary source

GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior

We present GHARP (Real-time Gaussian Head Animation from Large-scale Reconstruction Prior), a method that animates 3D human heads in real time from a few input images of a subject and a driving expression signal. We decouple the problem into an identity stage that builds a representation of the subject’s geometry and appearance offline, and an animation stage that predicts expression-dependent residuals on top of...

What happened

We present GHARP (Real-time Gaussian Head Animation from Large-scale Reconstruction Prior), a method that animates 3D human heads in real time from a few input images of a subject and a driving expression signal. We decouple the problem into an identity stage that builds a representation of the subject’s geometry and appearance offline, and an animation stage that predicts expression-dependent residuals on top of...

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The development may change operating conditions or market expectations around AI. Further confirmation and measurable outcomes matter.

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1 reports · 1 original report · 1 independent

  1. Apple Machine Learning ResearchPrimary source · Supports · EN · 100%
    GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior ↗

Claims

  • GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior Observed

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  1. First reported

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Score explanation

Confidence · formula confidence-2.1.0
Source trust93
Independent corroboration51
Primary evidence100
Claim consistency82
Extraction confidence82
Attribution quality90
Impact · formula impact-2.1.0
Event magnitude45
Market relevance74
Entity significance42
Market breadth45
Novelty68
Urgency47
Ranking · formula rank-1.0.0
Confidence factor0.919
Freshness factor0.7923
Breaking bonus0
GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior | IntelCap