AI RESEARCH
AGORA: Adversarial Generation Of Real-time Animatable 3D Gaussian Head Avatars
arXiv CS.CV
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ArXi:2512.06438v3 Announce Type: replace The generation of high-fidelity, animatable 3D human avatars remains a core challenge in computer graphics and vision, with applications in VR, telepresence, and entertainment. Existing approaches based on implicit representations like NeRFs suffer from slow rendering and dynamic inconsistencies, while 3D Gaussian Splatting (3DGS) methods are typically limited to static head generation, lacking dynamic control. We bridge this gap by