Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

DIP-VAE: 分离推断先验VAE.

Structured Disentangled Representations

HFVAE：通过层级分解VAE实现结构化解耦表示.

Disentangling by Factorising

FactorVAE：通过分解特征表示的分布进行解耦.

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model

SWAE：引入Sliced-Wasserstein距离构造VAE.

Log Hyperbolic Cosine Loss Improves Variational Auto-Encoder

使用对数双曲余弦损失改进变分自编码器.

Learning to Generate Images with Perceptual Similarity Metrics

使用多尺度结构相似性度量MS-SSIM学习图像生成.