| | --- |
| | license: cc-by-nc-4.0 |
| | language: |
| | - zh |
| | - en |
| | tags: |
| | - Dubbing_Datasets |
| | --- |
| | |
| | ## 🎬 Fun-CineForge: A Unified Dataset Pipeline and Model for Zero-Shot Movie Dubbing in Diverse Cinematic Scenes |
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| | **Fun-CineForge** contains an end-to-end dataset pipeline for producing large-scale dubbing datasets and an MLLM-based dubbing model designed for diverse cinematic scenes. |
| | Using this pipeline, we constructed the first large-scale Chinese television dubbing dataset CineDub-CN, which includes rich annotations and diverse scenes. |
| | In monologue, narration, dialogue, and multi-speaker scenes, our dubbing model consistently outperforms state-of-the-art methods in terms of audio quality, lip-sync, timbre transition, and instruction following. |
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| | You can access [https://funcineforge.github.io/](https://funcineforge.github.io/) to get our CineDub dataset samples and demo samples. |
