EMO: Emote Portrait Alive - Generating Expressive Portrait Videos

EMO is an audio-driven framework for generating expressive portrait videos using a single reference image and audio input (e.g., talking, singing). It features two stages: Frames Encoding, where image features are extracted, and the Diffusion Process, which uses audio embeddings and noise to generate facial movements. EMO maintains the character's identity and can produce videos of varying durations, supporting different languages, rhythms, and styles. The method allows for realistic and expressive animations for both singing and speaking, extending to 3D models and AI-generated characters.

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