Stochastic Backpropagation and Approximate Inference in Deep Generative Models. (2014)
DRAW: A recurrent neural network for image generation. (2015)
Adversarial models
GANs: Generative Adversarial Networks. (2014)
Autoregressive models
RIDE: Generative Image Modeling Using Spatial LSTMs. (2015)
NADE:The Neural Autoregressive Distribution Estimator.
MADE:Masked Autoencoder for Distribution Estimation.
Pixel RNN & Pixel CNN: Pixel Recurrent Neural Networks. (2016)
The following papers are useful to understand Pixel-RNN:
Offline handwriting recognition with multidimensional recurrent neural networks. (2009)
Generative Image Modeling Using Spatial LSTMs. (2015)
Gated Pixel-CNN: Conditional Image Generation with PixelCNN Decoders. (2016)
This method has been widely used in other domains:
WaveNet: A Generative Model for Raw Audio.
Video Pixel Networks.
Generating Interpretable Images with Controllable Structure.
Language Modeling with Gated Convolutional Networks.
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications. (2017)
PixelVAE: A Latent Variable Model for Natural Images. (2016)
WaveNet: A Generative Model for Raw Audio. (2016) (Audio)