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ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning., , , , и . CoRR, (2018)Denoising Prior Driven Deep Neural Network for Image Restoration., , , , , и . CoRR, (2018)Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention., , , , , и . ICCV, стр. 12106-12115. IEEE, (2023)Bayesian based Re-parameterization for DNN Model Pruning., , , , , и . ACM Multimedia, стр. 1367-1375. ACM, (2022)AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data., , , , , и . ACM Multimedia, стр. 1427-1435. ACM, (2022)Context-based bias removal of statistical models of wavelet coefficients for image denoising., , , и . ICIP, стр. 3841-3844. IEEE, (2009)Learning-based recovery of compressive sensing with application in multiple description coding., , , и . MMSP, стр. 1-5. IEEE, (2009)Superresolution Image Reconstruction: Selective milestones and open problems., , , , и . IEEE Signal Process. Mag., 40 (5): 54-66 (июля 2023)Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search., , , , , и . CoRR, (2021)Searching Efficient Model-Guided Deep Network for Image Denoising., , , и . IEEE Trans. Image Process., (2023)