oisilener1982
commented
8 months ago Sadtalker might be dead once EMO is out. It is vastly superior in everything
Open johndpope opened 8 months ago
oisilener1982
commented
8 months ago Sadtalker might be dead once EMO is out. It is vastly superior in everything
could existing code / models be extended to work in similar way? https://chat.openai.com/share/5fa19af2-007d-43d7-a47c-367d8f7b33b7
The "EMO: Emote Portrait Alive" paper presents a novel framework for generating expressive portrait videos from audio using an audio-to-video diffusion model. This work primarily focuses on enhancing the realism and expressiveness of talking head video generation, emphasizing the dynamic relationship between audio cues and facial movements. The key enhancements of "EMO" over "SadTalker" include:
Direct Audio-to-Video Synthesis: Unlike SadTalker, which generates 3D motion coefficients (head pose, expression) from audio and then uses them to modulate a 3D-aware face renderer, EMO employs a direct audio-to-video synthesis approach. This eliminates the need for intermediate representations like 3D models or facial landmarks used in SadTalker.
Seamless Frame Transitions and Identity Preservation: EMO ensures seamless transitions between frames and consistent preservation of the character’s identity throughout the video. This is a significant enhancement over SadTalker, which can sometimes struggle with identity preservation due to the use of 3D motion coefficients.
Highly Expressive and Lifelike Animations: The paper claims that EMO produces more expressive and lifelike animations compared to existing methodologies. This is achieved by leveraging the nuances present in the audio input more effectively than SadTalker.
Better Handling of Singing Videos: EMO is capable of producing not only convincing speaking videos but also singing videos in various styles. This indicates a broader application scope than SadTalker, which focuses more on talking head generation.
Experimental Results: EMO demonstrates superior performance in terms of expressiveness and realism when compared with state-of-the-art methods like SadTalker. This is substantiated through extensive experiments and user studies.
In summary, while SadTalker focuses on generating realistic 3D motion coefficients for talking head animations, EMO advances this by implementing a direct audio-to-video approach, enhancing the expressiveness, realism, and application scope of the generated videos.