RITA: A Real-time Interactive Talking Avatars Framework

Cheng, Wuxinlin, Wan, Cheng, Cao, Yupeng, Chen, Sihan

arXiv.org Artificial Intelligence 

RITA presents a high-quality real-time interactive framework While SadTalker and similar models excel in built upon generative models, designed with practical their domain, they are primarily tethered to offline processing, applications in mind. Our framework enables the transformation owing to the intricate computations required to ensure of user-uploaded photos into digital avatars that can synchronicity between audio cues and facial movements, engage in real-time dialogue interactions. By leveraging including lip motion, head pose, and eye blinks. These the latest advancements in generative modeling, we have models, despite their efficacy, fall short in applications demanding developed a versatile platform that not only enhances the real-time interaction, thus limiting their utility in user experience through dynamic conversational avatars dynamic, user-centric scenarios.

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