arXiv AI By Ramazan Fazylov, Stamatis Lefkimmiatis, Ivan Laptev

One Basis to Animate Them All: Gaussian Blendshape Distillation for Real-Time Avatars

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arXiv Computer Vision
Sep 18

AGORA: Adversarial Generation Of Real-time Animatable 3D Gaussian Head Avatars

AGORA is a new framework that extends 3D Gaussian Splatting with a generative adversarial network to produce high‑fidelity, animatable 3D head avatars. It introduces a lightweight FLAME‑conditioned deformation branch that predicts per‑Gaussian residuals for identity‑preserving, fine‑grained expression control, and a dual‑discriminator training scheme that enforces expression fidelity. The system achieves real‑time inference at 250 FPS on a single GPU and, for the first time, CPU‑only animatable 3DGS avatar synthesis at ~9 FPS.

By Ramazan Fazylov, Sergey Zagoruyko, Aleksandr Parkin, Stamatis Lefkimmiatis, Ivan Laptev
arXiv Computer Vision
3d ago

MegaAvatar: Controllable Talking Avatar Generation

arXiv:2609.39273v1 Announce Type: new Abstract: This report presents \textbf{MegaAvatar}, a controllable talking avatar generation framework built on top of the Wan2.2-TI2V-5B model. Compared with pr...

By Junyao Gao, Sibo Liu, Weidong Zhang, Cairong Zhao, Jun Zhang