Machine learningDeep learning / NLP / CV
多模态变分自编码器
多模态变分自编码器（MVAE）是一种深度生成模型，它利用特定模态编码器的专家乘积融合，在两个或多个数据模态（如图像和字幕）之间学习共享的潜在表示，即使在测试时仅观察到部分模态，也能实现生成和推理。
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来源
- Wu, M., & Goodman, N. (2018). Multimodal Generative Models for Scalable Weakly-Supervised Learning. Advances in Neural Information Processing Systems (NeurIPS), 31. link ↗
- Kingma, D. P., & Welling, M. (2014). Auto-Encoding Variational Bayes. International Conference on Learning Representations (ICLR). link ↗
如何引用本页
ScholarGate. (2026, June 3). Multimodal Variational Autoencoder (MVAE). ScholarGate. https://scholargate.app/zh/deep-learning/multimodal-variational-autoencoder
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