Paper 01 - Unrolled Optimization with Deep Priors
Paper 02 - Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Paper 03 - Image Denoising via CNNs An Adversarial Approach
Paper 04 - Toward Convolutional Blind Denoising of Real Photographs
Paper 05 - Learning to See in the Dark
Paper 06 - Mobile VR on Edge Cloud A Latency-Driven Design
Paper 08 - Locality-Aware Load Sharing in Mobile Cloud Computing
Paper 09 - Online user allocation in mobile edge computing environments
Paper 10 - Residual Attention Network for Image Classification
Paper 11 - Learning Medical Image Denoising with Deep Dynamic Residual Attention Network
Paper 12 - Real Image Denoising with Feature Attention
Paper 13 - Deep Universal Blind Image Denoising
Paper 14 - Unprocessing Images for Learned Raw Denoising
Paper 15 - Image Denoising Using a Generative Adversarial Network
Paper 16 - Image Blind Denoising With Generative Adversarial Network Based Noise Modeling
Paper 17 - DNGAN for speckle noise reduction in optical coherence tomography images
Paper 18 - DCGANs for image super-resolution, denoising and deblurring
Paper 19 - A Residual Dense U-Net Neural Network for Image Denoising
Paper 20 - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution