VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
VLOGGER is a method for text and audio-driven talking human video generation from a single input image of a person, building on the success of recent generative diffusion models.
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Key Features of VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
VLOGGER generates high quality videos of variable length, easily controllable through high-level representations of human faces and bodies, and considers a broad spectrum of scenarios.
Text and Audio-Driven Generation
VLOGGER generates talking human videos from text and audio inputs, allowing for control over the content and tone of the video.
Stochastic Human-to-3D-Motion Diffusion Model
VLOGGER uses a stochastic human-to-3D-motion diffusion model to generate intermediate body motion controls, responsible for gaze, facial expressions, and pose.
Temporal Image-to-Image Translation Model
VLOGGER uses a temporal image-to-image translation model to generate the corresponding frames, taking the predicted body controls and a reference image of a person.
Diverse Video Generation
VLOGGER generates a diverse distribution of videos of the original subject, with a significant amount of motion and realism.
Video Editing
VLOGGER allows for editing existing videos, making it possible to change the expression of the subject or add new content.
Use Cases of VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
Generate talking human videos from text and audio inputs for use in video conferencing or virtual events.
Edit existing videos to change the expression of the subject or add new content.
Use VLOGGER to generate videos for social media or advertising campaigns.
Apply VLOGGER to generate videos for educational or training purposes.
Pros and Cons of VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
Pros
- Generates high quality videos of variable length.
- Easily controllable through high-level representations of human faces and bodies.
- Considers a broad spectrum of scenarios, including visible torso or diverse subject identities.
Cons
- May require significant computational resources to generate high quality videos.
- May require large amounts of training data to achieve optimal results.
- May have limitations in terms of the diversity of generated videos.
How to Use VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
- 1
Input text and audio to generate talking human videos.
- 2
Use the stochastic human-to-3D-motion diffusion model to generate intermediate body motion controls.
- 3
Use the temporal image-to-image translation model to generate the corresponding frames.
- 4
Edit existing videos using VLOGGER's video editing capabilities.
VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
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