Titlebook: Computer Vision – ECCV 2018 Workshops; Munich, Germany, Sep Laura Leal-Taixé,Stefan Roth Conference proceedings 2019 Springer Nature Switze

外露

碎片

Spirometry

调味品

疯狂

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. Benefiting from these improvements, the proposed ESRGAN achieves consistently better visual quality with more realistic and natural textures than SRGAN and won the first place in the PIRM2018-SR Challenge (region 3) with the best perceptual index. The code is available at ..

CANT

Analyzing Perception-Distortion Tradeoff Using Enhanced Perceptual Super-Resolution Networknown SR architecture- enhanced deep super-resolution (EDSR) network and show that it can be adapted to achieve better perceptual quality for a specific range of the distortion measure. While the original network of EDSR was trained to minimize the error defined based on per-pixel accuracy alone, we

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Cognizance

土坯

Perception-Preserving Convolutional Networks for Image Enhancement on Smartphonese of the proposed network. The experiments demonstrate that our proposed method produces better results compared with the state-of-the-art approaches, both qualitatively and quantitatively. The code is available at ..

CURT