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Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Example code for data-driven and physics-driven deep learning phase recovery
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 …
A deeplearning network based on Richardson-Lucy formula
Three-dimensional residual channel attention networks
Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'
Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.
MambaGlue: Fast and Robust Local Feature Matching With Mamba @ ICRA'25
[CVPR 2025] JamMa is a lightweight image matcher that enables fast internal and mutual interaction of images with joint Mamba.
fully convolutional network for automated dispersion compensation in OCT images
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
Implementations of recent research prototypes/demonstrations using MONAI.
3D U-Net model for volumetric semantic segmentation written in pytorch
In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.
This repository contains a MATLAB script that implements a pipeline for image processing, mainly for feature extraction and enhancement. The aim is to prepare the image for further analysis or proc…
This project implements in code the algorithm presented in IEEE 1989 'Blood Vessel Detection in Retinal Images using 2D Matched Filters'
Implementation of "Learning to Match Features with Seeded Graph Matching Network" ICCV2021
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
Training library for local feature detection and matching
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/READ…
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
This repository contains the training code for SuperGlue. Uses COCO dataset by generating random homographies.
Code Release for LF-Net: Learning Local Features from Images
Visual localization made easy with hloc
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features