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Andrew Aitken

2 accepted papers

2017

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

CVPR 2017oral

Despite the breakthroughs in accuracy and speed of single image super-resolution using faster and deeper convolutional neural networks, one central problem remains largely unsolved: how do we recover the finer texture details when we super-resolve at large upscaling factors? The behavior of optimiza…

Cited by 14895PDFcodeScholar
2017

Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation

CVPR 2017poster

Convolutional neural networks have enabled accurate image super-resolution in real-time. However, recent attempts to benefit from temporal correlations in video super-resolution have been limited to naive or inefficient architectures. In this paper, we introduce spatio-temporal sub-pixel convolution…

Cited by 888PDFScholar