TCAN
Temporally consistent portrait animation using diffusion models
Product Details
TCAN is a novel portrait animation framework based on the diffusion model that maintains temporal consistency and generalizes well to unseen domains. The framework uses unique modules such as appearance-pose adaptation layer (APPA layer), temporal control network and attitude-driven temperature map to ensure that the generated video maintains the appearance of the source image and follows the pose of the driving video, while maintaining background consistency.
Main Features
How to Use
Target Users
TCAN is suitable for fields that require high-quality portrait animation generation, such as film production, game development, virtual reality, etc. It is especially suitable for animators who need to achieve complex movements and posture changes while maintaining the consistency of character appearance and background.
Examples
In film production, used to generate character action scenes.
In game development, it is used to create dynamic representations of characters.
In virtual reality, it is used to generate virtual character animations that interact with users.
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