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New GHARP method enables real-time 3D head animation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed GHARP, a novel method for real-time 3D human head animation using a few input images and expression signals. The system decouples identity and animation stages, allowing for computationally expensive identity modeling and a lightweight, mobile-optimized animation network. GHARP addresses issues of body pose and clothing underspecification by incorporating a body alignment network, achieving state-of-the-art quality on the Ava-256 benchmark while significantly improving speed and reducing Gaussian representation. AI

IMPACT This research could lead to more efficient and realistic real-time avatar generation for applications like virtual communication and gaming.

RANK_REASON The cluster describes a new research paper detailing a novel method for 3D head animation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New GHARP method enables real-time 3D head animation

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The cluster describes a new research paper detailing a novel method for 3D head animation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Ali Benlalah, Sepehr Johari, Patricia Vitoria, Armin Kappeler, Artem Sevastopolsky, Alexander Jung, Gabriele Fanelli, Kevin Mader, Manuel Breitenstein, Claudia Pl\"uss, Jan R\"uegg, Simon Biland, Thomas Etterlin, Dmitry Kostiaev, Mathias Deschler, Brian … ·

    GHARP: Real-time Gaussian Head Animation from Large-scale Reconstruction Prior

    arXiv:2610.10945v1 Announce Type: cross Abstract: 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 p…

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