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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 results and is suitable for use with single-frame and multi-frame data captured by DP sensors.
A. Karaali, CR. Jung, "Edge-Based Defocus Blur Estimation with Adaptive Scale Selection", IEEE Transactions on Image Processing (TIP 2018), 2018
AIFNet: All-in-focus Image Restoration Networkusing a Light Field-based Dataset
Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.
Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single blurry input image improves the network’s ability to learn to deblur the image. Our experiments show this multi-task strategy…
The main features of abdullah-abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat are: Defocus Deblurring.
Projects with overlapping indexed features include: abdullah-abuolaim/recurrent-defocus-deblurring-synth-dual-pixel — Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data".… alikaraali/tip2018-edge-based-defocus-blur-estimation-with-adaptive-scale-selection — A. Karaali, CR. Jung, "Edge-Based Defocus Blur Estimation with Adaptive Scale Selection", IEEE Transactions on Image… binorchen/aifnet — AIFNet: All-in-focus Image Restoration Networkusing a Light Field-based Dataset. bychelsea/cmos — [CVPR 2023] Better “CMOS” Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image… codeslake/dmenet — [CVPR 2019] Official TensorFlow Implementation for "Deep Defocus Map Estimation using Domain Adaptation". abdullah-abuolaim/defocus-deblurring-dual-pixel — Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural…