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Multi-scale Residual Network for Image Super-Resolution
TLDR
We propose a novel multi-scale residual network (MSRN) to fully exploit the image features, which outperform most of the state-of-the-art methods. Expand
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NTIRE 2018 Challenge on Image Dehazing: Methods and Results
TLDR
This paper reviews the first challenge on image dehazing (restoration of rich details in hazy image) with focus on proposed solutions and results. Expand
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Progressive Feature Fusion Network for Realistic Image Dehazing
TLDR
An U-Net like encoder-decoder deep network via progressive feature fusions has been proposed to directly learn highly nonlinear transformation function from observed hazy image to haze-free ground truth. Expand
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Soft-Edge Assisted Network for Single Image Super-Resolution
TLDR
We propose a Soft-edge assisted Network (SeaNet) to reconstruct the high-quality SR image with the help of image soft-edge. Expand
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AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results
TLDR
This paper reviews the first AIM challenge on mapping camera RAW to RGB images with the focus on proposed solutions and results. Expand
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An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
TLDR
We present an effective deep residual network based on squeeze-and-excitation blocks (SEBlock) to reconstruct high-resolution (HR) image from low-resolution(LR) image. Expand
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Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution
TLDR
Convolutional neural networks have recently achieved great success in image super-resolution (SR). Expand
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HighEr-Resolution Network for Image Demosaicing and Enhancing
TLDR
We propose a HighEr-Resolution Network (HERN), which consists of a dual-path network and a pyramid full-image encoder. Expand
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Deep residual refining based pseudo-multi-frame network for effective single image super-resolution
TLDR
We propose a deep residual refining based pseudo-multi-frame network for efficient SISR. Expand
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Multilevel Edge Features Guided Network for Image Denoising.
TLDR
We propose a new CNN model specially designed to reconstruct image edges from the noisy image, which shows good accuracy and robustness on natural images. Expand