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Sub-Pixel Convolutional Layer with Tensorflow/Keras
A subpixel dense refinement U-NET like architecture for Vessel Segmentation from Retinal fundas images
Light-weight Super Resolution model with Inverted Residual block from MobileNetV2. Subpixel layers have been used for Upsampling.
Investigation in 4x Super-resolution by Deep Convolutional Neural Networks
Modern Graph TensorFlow implementation of Super-Resolution GAN
a graduation project