Image Generation

Papers

Optimizing Neural Networks That Generate Images(2014. PhD thesis)

• paper : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf
• github: https://github.com/mrkulk/Unsupervised-Capsule-Network

Learning to Generate Chairs, Tables and Cars with Convolutional Networks

• arXiv: http://arxiv.org/abs/1411.5928

Generative Adversarial Networks

• arXiv: http://arxiv.org/abs/1406.2661
• github: https://github.com/goodfeli/adversarial
• github: https://github.com/aleju/cat-generator

DRAW: A Recurrent Neural Network For Image Generation

• arXiv: http://arxiv.org/abs/1502.04623
• github: https://github.com/vivanov879/draw

Generative Image Modeling Using Spatial LSTMs

• arXiv: http://arxiv.org/abs/1506.03478
• github: https://github.com/lucastheis/ride/

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks(NIPS 2015)

• arXiv: http://arxiv.org/abs/1506.05751
• code: http://soumith.ch/eyescream/
• project page: http://soumith.ch/eyescream/
• homepage: http://www.cs.nyu.edu/~denton/

Conditional generative adversarial nets for convolutional face generation

• paper: http://www.foldl.me/uploads/2015/conditional-gans-face-generation/paper.pdf
• blog: http://www.foldl.me/2015/conditional-gans-face-generation/
• github: https://github.com/hans/adversarial

Generating Images from Captions with Attention

• arXiv: http://arxiv.org/abs/1511.02793
• github: https://github.com/emansim/text2image
• demo: http://www.cs.toronto.edu/~emansim/cap2im.html

Attribute2Image: Conditional Image Generation from Visual Attributes

• arXiv: http://arxiv.org/abs/1512.00570

Deep Visual Analogy-Making

• paper: https://papers.nips.cc/paper/5845-deep-visual-analogy-making.pdf

Autoencoding beyond pixels using a learned similarity metric

• arxiv: http://arxiv.org/abs/1512.09300
• demo: http://algoalgebra.csa.iisc.ernet.in/deepimagine/
• github: https://github.com/andersbll/autoencoding_beyond_pixels
• video: http://video.weibo.com/show?fid=1034:f00b4e5a34e8c1ebe78ccd00da95f9e0
• github: https://github.com/stitchfix/fauxtograph

Deep Visual Analogy-Making

• paper: https://papers.nips.cc/paper/5845-deep-visual-analogy-making
• github(Tensorflow): https://github.com/carpedm20/visual-analogy-tensorflow
• slides: http://slideplayer.com/slide/9147672/
• baidu-pan: http://pan.baidu.com/s/1pKgrdnt

Generating images with recurrent adversarial networks

• arxiv: http://arxiv.org/abs/1602.05110

Blogs

Torch convolutional GAN: Generating Faces with Torch

• blog: http://torch.ch/blog/2015/11/13/gan.html
• github: https://github.com/skaae/torch-gan

Codes

Generate cat images with neural networks

• github: https://github.com/aleju/cat-generator

TF-VAE-GAN-DRAW

• intro: A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
• github: https://github.com/ikostrikov/TensorFlow-VAE-GAN-DRAW

Understanding and Implementing Deepmind’s DRAW Model

• blog: http://evjang.com/articles/draw
• github: https://github.com/ericjang/draw