腾讯混元视频化身(HunyuanVideo-Avatar):AI驱动的动态情感化数字人技术革新

腾讯混元视频化身(HunyuanVideo-Avatar)是一项突破性的AI技术,专注于通过音频驱动生成动态且情感可控的数字人视频。该技术攻克了传统音频驱动动画的两大核心难题——角色一致性保持与情感精准对齐,其创新的多模态扩散Transformer模型(MM-DiT)融合三大核心技术:
1. 角色图像注入模块:摒弃传统条件控制方法,通过直接注入角色特征实现高保真动态动作生成;
2. 音频情感模块(AEM):从参考图像提取情感特征,实现微调级情绪控制;
3. 面部感知音频适配器(FAA):支持多角色独立音频驱动,可生成风格迥异的对话视频。

相较于传统方案,该技术显著提升了生成内容的自然度与表现力,适用于虚拟偶像、游戏NPC、在线教育等场景。腾讯已开源代码与模型,为行业提供可落地的AI数字人解决方案。这项技术不仅体现了腾讯在生成式AI领域的领先地位,更为元宇宙内容创作提供了全新工具链。


HunyuanVideo-Avatar - Dynamic, multi-character AI animation driven by audio AI animation audio

HunyuanVideo-Avatar is an innovative project developed by Tencent that focuses on creating dynamic and emotion-controllable avatar videos driven by audio. This technology addresses significant challenges in audio-driven human animation, such as maintaining character consistency and achieving precise emotion alignment. By leveraging advanced techniques, HunyuanVideo-Avatar can generate multi-character dialogue videos that are both engaging and realistic.

The core of HunyuanVideo-Avatar lies in its multimodal diffusion transformer (MM-DiT) model, which introduces several key innovations. One notable feature is the character image injection module, which replaces traditional conditioning methods to ensure strong character consistency and dynamic motion. Additionally, the Audio Emotion Module (AEM) extracts emotional cues from reference images, allowing for fine-tuned emotion control in the generated videos. The Face-Aware Audio Adapter (FAA) further enhances the technology by enabling independent audio injection for multiple characters, making it a powerful tool for creating diverse character styles.

By overcoming the limitations of previous methods, HunyuanVideo-Avatar sets a new standard in the field of audio-driven animation. This project not only showcases Tencent’s commitment to advancing technology but also opens up possibilities for creative applications in various industries. If you’re interested in exploring this groundbreaking project, visit HunyuanVideo-Avatar to learn more and access the code and models released for public use.

×
短视频数字人
滚动至顶部