Qunar Tech Salon
Apr 24, 2017 · Artificial Intelligence
Advances in Image Super-Resolution Using Deep Learning: CNN, GAN, and PixelCNN
Recent advances in image super-resolution leverage deep learning techniques such as convolutional neural networks, residual learning, perceptual loss, generative adversarial networks, and PixelCNN to reconstruct high-resolution details from low-resolution inputs, addressing challenges of scalability, training efficiency, and multi-scale upscaling.
CNNGANImage Super-Resolution
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