(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
Conditional Generative Adversarial Nets
Paper: https://arxiv.org/abs/1411.1784
Instance-aware Semantic Segmentation
Continue reading(CVPR 2017) Fully Convolutional Instance-aware Semantic Segmentation
Paper: https://arxiv.org/abs/1611.07709
Code: https://github.com/daijifeng001/TA-FCN
(ECCV 2016) Instance-sensitive Fully Convolutional Networks
Paper: https://arxiv.org/abs/1603.08678
(CVPR 2016) Instance-aware Semantic Segmentation via Multi-task Network Cascades
Paper: https://arxiv.org/abs/1512.04412
Code: https://github.com/daijifeng001/MNC
(CVPR 2016) Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
Paper: http://www.cse.cuhk.edu.hk/leojia/papers/mpa_cvpr16.pdf
