Stars
OpenMMLab Detection Toolbox and Benchmark
Autofocus and image processing algorithm for SAR imaging.
This repository is for underwater acoustic source localization with neural networks. It uses a MATLAB app to generate datasets, simulating diverse acoustic scenarios. The generated datasets are the…
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…
The code for iHateregex.io 😈 - The Regex Cheat Sheet
A Caffe-based implementation of very deep convolution network for image super-resolution
【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
Implementation in MATLAB of the algorithm described in the paper: "Coupled Dictionary Training for Image Super-Resolution" by Jianchao Yang et al.
PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).
Python implementation of "Single Image Super-Resolution via Sparse Representation" for educational purposes.
A collection of high-impact and state-of-the-art SR methods
collection of super-resolution models & algorithms
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…
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
In this project i have applied deep learning techniques to train a model to classify images using convolutional neural network algorithm.
Underwater Object Detection [Optical]
A Collection of Algorithms and Datasets for Stereo Image Super-Resolution
Repository for "Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-Resolution ", JSTARS, 2022
various cv tools, such as label tools, data augmentation, label conversion, etc.
[T-IP 2023] Code for exponential adaptive pooling for PyTorch