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Northwestern Polytechnical University
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Achieving a staggering $3,000\times$ reduction in computational complexity, REFINE redefines efficiency in 3D Gaussian splatting without sacrificing quality.
Stop avatars from looking like they're having a seizure: this method uses autoregressive prediction of appearance latents to create temporally stable and high-fidelity 3D Gaussian avatars.
Finally, VR agents can maintain natural gaze and respond to user movement in real-time, thanks to a novel architecture that achieves state-of-the-art motion quality at over 300 FPS.
