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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...

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Qué ocurrió

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...

Por que importa

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

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1 articulos · 1 informe original · 1 independientes

  1. Apple Machine Learning ResearchFuente primaria · Respalda · EN · 100%
    GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior ↗

Afirmaciones

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

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Cronología

  1. Primera publicación

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Explicación de puntuaciones

Confianza · fórmula confidence-2.1.0
Fiabilidad de fuentes93
Corroboración independiente51
Evidencia primaria100
Coherencia de afirmaciones82
Confianza de extracción82
Calidad de atribución90
Impacto · fórmula impact-2.1.0
Magnitud del evento45
Relevancia de mercado74
Importancia de entidades42
Alcance del mercado45
Novedad68
Urgencia47
Clasificación · fórmula rank-1.0.0
Factor de confianza0.919
Factor de actualidad0.7923
Bono de urgencia0
GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior | IntelCap