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deleate paper #3

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4 changes: 0 additions & 4 deletions README.md
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Expand Up @@ -48,12 +48,8 @@ A curated list of image denoising resources and a benchmark for image denoising
* Image Denoising via CNNs: An Adversarial Approach (Arxiv2017), Nithish Divakar, R. Venkatesh Babu.
* Unrolled Optimization Deep Priors [[PDF]](https://arxiv.org/pdf/1705.08041.pdf)
* Unrolled Optimization with Deep Priors (Arxiv2017), Steven Diamond, Vincent Sitzmann, Felix Heide, Gordon Wetzstein.
* Wider Network [[PDF]](https://arxiv.org/pdf/1707.05414.pdf)
* Going Wider with Convolution for Image Denoising (Arxiv2017), Peng Liu, Ruogu Fang.
* Recurrent Inference Machines [[PDF]](https://arxiv.org/pdf/1706.04008.pdf)
* Recurrent Inference Machines for Solving Inverse Problems, Patrick Putzky, Max Welling.
* Learning Pixel-Distribution Prior [[PDF]](https://arxiv.org/pdf/1707.09135.pdf)
* Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising (Arxiv2017), Peng Liu, Ruogu Fang.

#### Combined with High-Level Tasks
* Meets High-level Tasks [[PDF]](https://arxiv.org/pdf/1706.04284.pdf)
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