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2 search results found

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Recurrent Defocus Deblurring Synth Dual Pixel ⭐ 30

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring re

Catheter_detection ⭐ 9

Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data

Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy

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