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DAN: Unfolding the Alternating Optimization for Blind Super Resolution
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Implementation of "Fast Image Dehazing Using Dark Channel Prior"
[CVPR 2019] Official TensorFlow Implementation for "Deep Defocus Map Estimation using Domain Adaptation"
Code for our papaer An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion
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 reduc…
A Two-Stage Attentive Network for Single Image Super-Resolution
PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"
Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]
This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Convert torch t7 model to pytorch model and source.
Densely Connected Pyramid Dehazing Network (CVPR'2018)
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"
we proposed a light-weigt but efficient blanced attention mechanism for SISR task.
This code implements the code of the paper ,"Neighbor2Neighbor:Self-Supervised Denoising From Single Noisy Images",in2021
This is an unofficial implementation for the paper "NEIGHBOR2NEIGHBOR: SELF-SUPERVISED DENOISING FROM SINGLE NOISY IMAGES"
Depthwise Over-parameterized Convolutional Layer