WanSong v1.0 Technical Report
Music generation foundation models have recently attracted significant industry attention.
Hugging Face · Daily Papers
·Binghui Chen, Pandeng Li
·
·▲ 9 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Binghui Chen, Pandeng Li, Yu Liu, Jingren Zhou
- 9 upvotes da comunidade
Resumo
Resumo original (em inglês), extraído do paper:
Music generation foundation models have recently attracted significant industry attention. However, achieving efficient generation and high-fidelity long-form audio while supporting controllability remains challenging. To address these needs, we present WanSong, a simple yet powerful approach for long-form, commercial-grade song generation. Unlike autoregressive (AR) and cascaded multi-stage pipelines (\eg, AR followed by diffusion), WanSong is a pure diffusion-based model that directly generates high-fidelity, multilingual songs up to 5 minutes and outputs dual stems (vocals and background music) in a single run. In addition, our diffusion framework enables faster inference through step-distillation, and offers an efficient pathway for fine-tuning and customization to support downstream editing tasks.Onde ler
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