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GaussianEmoTalker enables real-time emotional talking head synthesis

Researchers have developed GaussianEmoTalker, a novel framework for real-time emotional talking head synthesis using 3D Gaussian Splatting. This method addresses the challenge of generating expressive avatars with controllable emotional intensity by treating emotional animation as a residual deformation problem. GaussianEmoTalker constructs an identity-specific neutral talking space and then predicts emotion-conditioned residual deformations, achieving competitive video quality, accurate lip synchronization, and real-time rendering. AI

IMPACT This research could lead to more expressive and controllable virtual avatars for applications like virtual reality and teleconferencing.

RANK_REASON The cluster describes a new academic paper detailing a novel method for AI-driven synthesis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

GaussianEmoTalker enables real-time emotional talking head synthesis

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Haijie Yang, Zhenyu Zhang, Yixuan Dong, Jianjun Qian, Jian Yang ·

    GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting

    arXiv:2607.00959v1 Announce Type: new Abstract: Audio-driven talking head synthesis has achieved impressive progress in lip synchronization and visual quality, yet generating expressive emotional avatars with controllable intensity remains challenging, especially under real-time …

  2. arXiv cs.CV TIER_1 English(EN) · Jian Yang ·

    GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting

    Audio-driven talking head synthesis has achieved impressive progress in lip synchronization and visual quality, yet generating expressive emotional avatars with controllable intensity remains challenging, especially under real-time constraints. In this paper, we present GaussianE…