在正式介绍MIRNetV2之前,我们先来看一下它与MIRNetV1的性能对比,见下表。真可谓,MIRNetV2把MIRNetV1放在地上使劲的“摩擦”!关于MIRNet的介绍,可参见:https://zhuanlan.zhihu.com/p/261580767 。
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement - MIRNetv2/setup.cfg at main · 19pa1a0440/MIRNetv2
SeeINSTALL.mdfor the installation of dependencies required to run MIRNet_v2. Demo To test the pre-trained MIRNet_v2 models of Real Denoising, Dual-Pixel Defocus Deblurring, Super-Resolution, and Image Enhancement on your own images,you can either use Google Colab ...
在正式介绍MIRNetV2之前,我们先来看一下它与MIRNetV1的性能对比,见下表。真可谓,MIRNetV2把MIRNetV1放在地上使劲的“摩擦”!关于MIRNet的介绍,可参见:https://zhuanlan.zhihu.com/p/261580767。 1Method 上图为MIRNetV2的网络架构示意图,它是在MIRNet的基础上演变而来(MIRNet的整体架构形态与RCAN非常相似,区别在于...
前言本文介绍了MIRNetV2,它的核心模块为MRB,它是一种多尺度特征提取、聚合模块。在多尺度方面,它通过下采样方式构建了三个尺度的特征;在特征聚合方面,它采用了SKNet一文的特征融合机制;在特征提取方面,它采用了一种全新的RCB模块。MIRNetV2的各方面性能都比MIRNetV1强!
See INSTALL.md for the installation of dependencies required to run MIRNet_v2. Demo To test the pre-trained MIRNet_v2 models of Real Denoising, Dual-Pixel Defocus Deblurring, Super-Resolution, and Image Enhancement on your own images,you can either use Google Colab , or command line as follo...