From dd1959d133b9e66226110da1a8735dfc5b025294 Mon Sep 17 00:00:00 2001 From: Holger Caesar Date: Wed, 23 Aug 2017 10:24:48 +0200 Subject: [PATCH] Added arxiv papers --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 106d921..b5aff17 100644 --- a/README.md +++ b/README.md @@ -224,6 +224,7 @@ To complement or correct it, please contact me at holger-at-it-caesar.com or vis - Semantically Decomposing the Latent Spaces of Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1705.07904) - Semi-Latent GAN: Learning to generate and modify facial images from attributes [[arXiv]](https://arxiv.org/abs/1704.02166) - Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.06430) +- Sharpness-aware Low dose CT denoising using conditional generative adversarial network [[arXiv]](https://arxiv.org/abs/1708.06453) - StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1612.03242) - Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN [[arXiv]](https://arxiv.org/abs/1706.03319) - Supervised Adversarial Networks for Image Saliency Detection [[arXiv]](https://arxiv.org/abs/1704.07242) @@ -242,6 +243,7 @@ To complement or correct it, please contact me at holger-at-it-caesar.com or vis - Unsupervised Cross-Domain Image Generation [[arXiv]](https://arxiv.org/abs/1611.02200) - Unsupervised Diverse Colorization via Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1702.06674) - Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1707.09798) +- VIGAN: Missing View Imputation with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1708.06724) - WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [[arXiv]](https://arxiv.org/abs/1702.07392) - Weakly Supervised Generative Adversarial Networks for 3D Reconstruction [[arXiv]](https://arxiv.org/abs/1705.10904)