Various scripts, mostly intended to help with model training and dataset creation
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Updated
Jun 21, 2024 - Python
Various scripts, mostly intended to help with model training and dataset creation
Deep image alignment for UAV-Taken visible and infrared image pairs using two branched CNN pipeline and a registration block.
This repo contains a curative list of homography estimation, image alignment and related application.
Code for the paper "Preserving Volume for Unsupervised Registration" (ICCV 2023 Poster)
(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
Image alignment and stitching with MATLAB
Unsupervised Learning for Image Registration
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
Align thousands of selfies automatically
Dataset for image stitching by line-guided local warping with global similarity constraint, PR2018
A curated list of awesome resources for topics related to computational photography via deep learning, which mainly focuses on image alignment and stitching.
Desktop app for aligning images using draggable control points (manual image registration). Batch mode to process multiple images such as XRF and RIS element maps from painting analyses. Converts and merges alphascale images. Installs as a Windows executable and runs directly on Python. Very open source.
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
Difference of Local Entropy (DoLE) variant of SIFT for multimodal key point detection/description.
Our code for the paper "Single-Perspective Warps in Natural Image Stitching"
Coarse-to-Fine High Resolution Image Alignment/Registration
Learning Deformable Registration of Medical Images with Anatomical Constraints
Generates a depth map from a focal stack of images using OpenCV 📷
Cryo-EM image alignment: from pair-wise to joint with deep unsupervised difference learning (PyTorch)
Align sequence of star field / astro images taken with a stationary camera (stationary relative to all those stars light years away).
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