CoSyncDiT: Cognitive Synchronous Diffusion Transformer for Movie Dubbing
Movie dubbing aims to synthesize speech that preserves the vocal identity of a reference audio while synchronizing with the lip movements in a target video. Existing methods fail to achieve precise lip-sync and lack naturalness due to explicit alignment at the duration level. While implicit alignment solutions have emerged, they remain susceptible to interference from the reference audio, triggering timbre and pronunciation degradation in in-the-wild scenarios. In this paper, we propose a novel flow matching-based movie dubbing framework driven by the Cognitive Synchronous Diffusion Transformer (CoSync-DiT), inspired by the cognitive process of professional actors. This architecture progr...
| Authors | Gaoxiang Cong, Liang Li, Jiaxin Ye et al. |
|---|---|
| Primary category | cs.SD |
| Published | 14 April 2026 |
| Last updated at source | 14 April 2026 |
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