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Replacement-Aware Distillation for Video Dubbing

Original title: VidDub: Replacement-Aware Distillation for Two-Step Video Dubbing

Hugging Face daily papersby Yexin Liu, Yunlong Lin, Zehan Wang ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

VidDub distills a teacher into a two-step student using replacement-aware cross-audio supervision.

Video dubbing synthesizes lip movements matching target speech while preserving speaker identity. Existing editors trained via self-reconstruction conflict with replaced speech. VidDub presents a full-context diffusion editor distilled into two denoising steps with replacement-aware supervision.

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From the original article

1 min read at huggingface.co

Video dubbing aims to synthesize lip movements that match target speech while preserving the speaker identity, head pose, and background of a source video. Existing editors are predominantly trained via self-reconstruction under original paired audio, even though the source mouth becomes a conflicting target when driving speech is replaced.

Hugging Face daily papers

By Yexin Liu, Yunlong Lin, Zehan Wang · huggingface.co

Read the full article at Hugging Face daily papers

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.