DreamActor-M1
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Dreamactor M1
Overview :
DreamActor-M1 is a human animation framework based on Diffusion Transformer (DiT), designed to achieve fine-grained overall controllability, multi-scale adaptability, and long-term temporal consistency. The model, through blending guidance, can generate high-expressiveness and realistic human videos suitable for various scenarios from portrait to full-body animation. Its main advantages lie in its high fidelity and identity preservation, bringing new possibilities to human behavior animation.
Target Users :
This product is suitable for animation makers, game developers, and creators who need high-quality human animation. Its powerful control capabilities and diverse application scenarios meet the high demands of professionals for animation expressiveness and consistency.
Total Visits: 18.9K
Top Region: US(34.12%)
Website Views : 39.5K
Use Cases
In animation film production, use DreamActor-M1 to generate high-quality human character animation.
In game development, apply this model to create smooth action performance for game characters.
In social media content creation, use DreamActor-M1 to generate eye-catching short videos.
Features
Fine-grained Control: Combining implicit facial representation, 3D head pose, and 3D body skeleton to achieve robust control over facial expressions and body movements.
Multi-scale Adaptability: Employing a progressive training strategy to handle various body poses and images of different resolutions, supporting the conversion between portrait and full-body views.
Long-term Temporal Consistency: Ensuring temporal consistency in unobserved areas during complex actions by integrating the motion patterns and visual references of consecutive frames.
Facial Animation Support: Scalable to audio-driven facial animation, enabling multilingual lip synchronization.
Shape-Aware Animation: Achieving shape-adaptive animation generation through bone length adjustment technology.
Flexible Motion Transfer: Supporting the transfer of only partial motion, such as facial expressions and head movements.
Diverse Style Support: Robust to various characters and motion styles.
Multi-view Support: Capable of generating animation results under different head poses.
How to Use
Prepare reference images and driving video frames.
Input the reference images and video frames into the model for training.
Set the blending guidance parameters to adjust facial and body movements.
Run the model to generate the target animation video.
Post-process and adjust the generated video as needed.
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