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Update README.md #19

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Expand Up @@ -24,6 +24,7 @@ __Use this contents list or simply press <kbd>command</kbd> + <kbd>F</kbd> to se
+ [Image Editing](#image-editing)
+ [Face Aging](#face-aging)
+ [Human Pose Estimation](#human-pose-estimation)
+ [Delineation](#delineation)
+ [Domain-transfer (e.g. style-transfer, pix2pix, sketch2image)](#domain-transfer-eg-style-transfer-pix2pix-sketch2image)
+ [Image Inpainting (hole filling)](#image-inpainting-hole-filling)
+ [Super-resolution](#super-resolution)
Expand Down Expand Up @@ -88,6 +89,11 @@ Shapes via 3D Generative-Adversarial Modeling, [[paper]](http://papers.nips.cc/p
### Human Pose Estimation
+ Pose Guided Person Image Generation, [[paper]](https://arxiv.org/abs/1705.09368)

### Delineation
+ Matching Adversarial Networks, [[paper]](http://openaccess.thecvf.com/content_cvpr_2018/html/Mattyus_Matching_Adversarial_Networks_CVPR_2018_paper.html)
+ TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation, [[paper]](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720222.pdf)
+ TopoGAN: A Topology-Aware Generative Adversarial Network, [[paper]](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123480120.pdf)

### Domain-transfer (e.g. style-transfer, pix2pix, sketch2image)
+ Image-to-Image Translation with Conditional Adversarial Networks, [[paper]](https://arxiv.org/pdf/1611.07004), [[github]](https://github.com/phillipi/pix2pix), [[youtube]](https://www.youtube.com/watch?v=VVqxbmUJorQ)
+ Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, [[paper]](https://arxiv.org/pdf/1703.10593.pdf), [[github]](https://github.com/junyanz/CycleGAN), [[youtube]](https://www.youtube.com/watch?v=JzgOfISLNjk)
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