(ICCV 2015) Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Paper: http://cseweb.ucsd.edu/~jmcauley/pdfs/iccv15.pdf
Supplement: https://goo.gl/OM1rAL
Code: https://vision.cornell.edu/se3/projects/clothing-style/

(SIGIR 2015) Image-based recommendations on styles and substitutes
Paper: https://cseweb.ucsd.edu/~jmcauley/pdfs/sigir15.pdf
Code: https://cseweb.ucsd.edu/~jmcauley/code/imageGraph.tar.gz

(NIPS 2016) Coupled Generative Adversarial Networks
Paper: https://arxiv.org/abs/1606.07536
Code: https://github.com/mingyuliutw/CoGAN

(ECCV 2016) Pixel-Level Domain Transfer
Paper: https://dgyoo.github.io/papers/eccv16.pdf
Supplement: https://dgyoo.github.io/papers/eccv16_supp.pdf
Code: https://github.com/fxia22/PixelDTGAN

(ICLR 2016) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Paper: http://arxiv.org/abs/1511.06434
Code: https://github.com/Newmu/dcgan_code

Generating Images with Recurrent Adversarial Networks
Paper: https://arxiv.org/abs/1602.05110
Code: https://github.com/jiwoongim/GRAN

(ICML 2016) Autoencoding beyond pixels using a learned similarity metric
Paper: https://arxiv.org/abs/1512.09300
Code: https://github.com/andersbll/autoencoding_beyond_pixels

DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow
Paper: https://arxiv.org/pdf/1607.04381v1.pdf
Model Zoo: https://songhan.github.io/DSD/

(NIPS 2015) Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Paper: http://arxiv.org/abs/1506.05751
Code: https://github.com/facebook/eyescream

(NIPS 2014) Generative Adversarial Nets
Paper: https://papers.nips.cc/paper/5423-generative-adversarial-nets
Code: http://www.github.com/goodfeli/adversarial