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Video de-watermarking function is a value-added service provided by the Digital Human Generation System, which can effectively enhance the cleanliness of the content

2025-09-05 1.6 K
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Technical principles and value-added content of video watermarking function

The video de-watermarking function is a featured service that distinguishes the platform from other digital human tools, and it uses a content repair algorithm based on the attention mechanism. When a user uploads a video with a watermark, the system will locate the watermarked area through semantic segmentation, and then use Generative Adversarial Networks (GANs) to reconstruct the content of the obscured image.

The technology offers three significant advantages: the processed video is free of common artifacts such as blurring or distortion; it supports frame-by-frame elimination of dynamic watermarks; and it can process up to 1080P HD video. This enables creators to quickly sanitize watermarked content downloaded from stock footage sites or clean up platform corner markers in their own videos.

In terms of the content production process, this feature forms a complete closed loop with digital human generation: users can first remove the watermark of the material, and then combine it with the cloned voice to generate new content. This one-stop solution greatly improves the creative efficiency of self-media workers and is especially suitable for marketing scenarios that require rapid output of clean content.

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