|
|
@@ -123,6 +123,8 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
|
|
|
* Zhaowen Wang, Ding Liu, Wei Han, Jianchao Yang and Thomas S. Huang, Deep Networks for Image Super-Resolution with Sparse Prior. ICCV, 2015. [[Paper]](http://www.ifp.illinois.edu/~dingliu2/iccv15/iccv15.pdf) [[Code]](http://www.ifp.illinois.edu/~dingliu2/iccv15/)
|
|
|
* Perceptual Losses for Super-Resolution
|
|
|
* Justin Johnson, Alexandre Alahi, Li Fei-Fei, Perceptual Losses for Real-Time Style Transfer and Super-Resolution, arXiv:1603.08155, 2016. [[Paper]](http://arxiv.org/abs/1603.08155) [[Supplementary]](http://cs.stanford.edu/people/jcjohns/papers/fast-style/fast-style-supp.pdf)
|
|
|
+* SRGAN
|
|
|
+ * Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi Twitter, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network, arXiv:1609.04802v3, 2016. [[Paper]](https://arxiv.org/pdf/1609.04802v3.pdf)
|
|
|
* Others
|
|
|
* Osendorfer, Christian, Hubert Soyer, and Patrick van der Smagt, Image Super-Resolution with Fast Approximate Convolutional Sparse Coding, ICONIP, 2014. [[Paper ICONIP-2014]](http://brml.org/uploads/tx_sibibtex/281.pdf)
|
|
|
|
Jungle