InstructAvatar

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Introduce：

InstructAvatar is an innovative text-guided method for generating 2D avatars with rich emotional expression. The model controls avatars’ emotions and facial movements through a natural language interface, providing fine-grained control, improved interactivity, and generalization for generated video. It has designed an automated annotation process to build training datasets for instruction-video pairing, and is equipped with a novel two-branch diffusion foundation generator that can predict avatars based on both audio and text instructions. Experimental results show that InstructAvatar outperforms existing methods in fine-grained emotion control, lip synchronization quality and naturalness.

Stakeholders:
InstructAvatar is aimed at AI researchers, avatar generation app developers, and users interested in making avatars. It suits them because 1) it provides a new approach to avatar generation that can be used for research and development; 2) Simplified emotional and motion control of avatars through text-guided approach; 3) Support fine-grained control, making the generated avatar more vivid and personalized; 4) With improved interactivity and generalization ability, can adapt to different application scenarios.
Usage Scenario Examples:

AI researchers use InstructAvatar to generate avatars with specific emotional expressions for training emotion recognition algorithms.
App developers use InstructAvatar to create virtual customer service or game avatars for a more natural interactive experience.
Content creators use InstructAvatar to generate personalized avatars for social media or video production.

The features of the tool:

Fine-grained Emotion control: Precisely control the emotion expression of your avatar according to text instructions.
Face action generation: Generate face movements of avatars based on audio and text commands.
Automated annotation: Build a training data set for instruction-video pairing.
Two-branch diffusion basic generator: processing audio and text simultaneously, predicting avatars.
Improved interactivity: Interact with users through a natural language interface.
Generalization ability: Good generalization ability for generating video.

Steps for Use:

Step 1: Visit InstructAvatar’s official website.
Step 2: Understand the product description and features.
Step 3: Select the appropriate text command as needed to control the emotions and actions of the avatar.
Step 4: Upload the user’s own profile picture as the basis for generating the video.
Step 5: Enter commands, such as emotion types or facial movements, through a natural language interface.
Step 6: The model generates the avatar video according to the instructions.
Step 7: Check the generated video to make sure it has the desired effect.
Step 8: Adjust the instructions or upload a new avatar image as needed to optimize the generated effect.

Tool’s Tabs: AI, avatar generation