V-Express - Advanced Portrait Video Generation

uses conditional dropout for balanced portrait video generation, enabling high-quality results from single images and audio.

Results Presentation of V-Express

Naive Retargeting

Offset Retargeting

Fix Face

Features of V-Express

V-Express introduces several innovative capabilities for portrait video generation

Conditional Dropout for Balanced Control

V-Express utilizes a progressive dropout method to balance control signals, enabling effective generation using weak conditions like audio.

Enhanced Video Post-Processing

The model includes video post-processing techniques that effectively mitigate flickering issues in generated videos.

Versatile Scenario Support

Supports various scenarios such as generating videos from a single image and matching target audio, or using different target videos for retargeting.

Adjustable Attention Weights

Provides parameters to adjust the influence of reference images and audio signals, allowing fine-tuning of generated video characteristics.

Naive Retargeting Strategy

Includes a naive retargeting strategy that enables driving the reference face with different character videos, albeit under limited conditions.

Flexible Usage Parameters

Offers adjustable parameters like reference and audio attention weights to achieve different effects, enhancing control over the final video output.

Features of V-Express

V-Express introduces several innovative capabilities for portrait video generation

What is V-Express?
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V-Express is a method for portrait video generation that balances different control signals through progressive dropout operations, enabling effective control by weak conditions like audio.
How does V-Express handle weak control signals?
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V-Express uses a series of progressive dropout operations to balance control signals, allowing weak conditions such as audio to effectively influence the generation process.
What scenarios does V-Express support?
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V-Express supports generating videos from a single image and audio, retargeting with different character videos, and generating mouth movements for fixed faces.
What post-processing techniques does V-Express include?
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V-Express includes video post-processing techniques that effectively mitigate flickering issues in generated videos.
Can I adjust the influence of different input conditions in V-Express?
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Yes, V-Express provides parameters to adjust the influence of reference images and audio signals, allowing fine-tuning of the generated video characteristics.
What are the recommended attention weights for reference and audio signals?
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It is recommended that the reference attention weight be set between 0.9 and 1.0, and the audio attention weight be set between 1.0 and 3.0 for optimal results.
How does the naive retargeting strategy in V-Express work?
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The naive retargeting strategy allows driving the reference face with different character videos under limited conditions, generating videos with the same movements as the target video.
What is required for the talking-face generation task in V-Express?
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For talking-face generation, it is important to choose a target video that is similar in pose to the reference face to achieve better results. The model performs better on English audio, with other languages not yet tested in detail.