深度学习用于计算机视觉的部分论文及代码集锦

[1] Deep Networks for Image Super-Resolution with Sparse Prior

Zhaowen Wang et al.

UIUC, Adobe Research, Snapchat

ICCV 2015

http://www.ifp.illinois.edu/~dingliu2/iccv15/iccv15.pdf

LISTA网络结构示例如下

所提出的SCN网络结构示例如下

第一层所学滤波如下

各方法效果比较如下

代码地址

http://www.ifp.illinois.edu/~dingliu2/iccv15/

[2] Conditional Image Generation withPixelCNN Decoders

Aäron van den Oord et al.

Google DeepMind

NIPS 2016

http://papers.nips.cc/paper/6527-conditional-image-generation-with-pixelcnn-decoders.pdf

PixelCNN网络示例如下

门限PixelCNN网络结构示例如下

各方法效果对比如下

代码地址

https://github.com/kundan2510/pixelCNN

[3] Generative Visual Manipulationon the Natural Image Manifold

Jun-Yan Zhu et al.

University of California, Berkeley, Adobe Research

ECCV 2016

https://arxiv.org/pdf/1609.03552v2.pdf

整体流程示例如下

各方法对比如下

生成图像示例如下

各方法效果对比如下

代码地址

https://github.com/junyanz/iGAN

[4] A Neural Algorithm of Artistic Style

Leon A. Gatys et al.

University of Tubingen, Bernstein Center for Computational Neuroscience, Graduate School for Neural Information Processing, Max Planck Institute for Biological Cybernetics, Baylor College of Medicine

Nature Communications 2015

https://arxiv.org/pdf/1508.06576.pdf

CNN 用于分割重建的示例如下

代码地址

https://github.com/jcjohnson/neural-style

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