Image Stitching
12 papers with code • 1 benchmarks • 4 datasets
Image Stitching is a process of composing multiple images with narrow but overlapping fields of view to create a larger image with a wider field of view.
Source: Single-Perspective Warps in Natural Image Stitching
( Image credit: Kornia )
HPatches
PhotoSynth
UDIS-D
CROSS
Most implemented papers
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
kornia/kornia
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This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.
Natural Image Stitching with the Global Similarity Prior
An objective function is designed for specifying the desired characteristics of the warps.
Single-Perspective Warps in Natural Image Stitching
Results of image stitching can be perceptually divided into single-perspective and multiple-perspective.
3D color homography model for photo-realistic color transfer re-coding
Color transfer is an image editing process that naturally transfers the color theme of a source image to a target image.
Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis
nile649/POLY-GAN
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We present Poly-GAN, a novel conditional GAN architecture that is motivated by Fashion Synthesis, an application where garments are automatically placed on images of human models at an arbitrary pose.
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View
Accurate environment perception is essential for automated driving.
Registration of Multiresolution Remote Sensing Images Based on L2-Siamese Model
TheKiteFlier/L2_Siamese
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020
The registration of multiresolution optical remote sensing images has been widely used in image fusion, change detection, and image stitching.
Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching
Generating high-quality stitched images with natural structures is a challenging task in computer vision.
Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
nie-lang/UnsupervisedDeepImageStitching
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Even compared with the supervised solutions, our image stitching quality is still preferred by users.
Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
nie-lang/Multi-Grid-Deep-Homography
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Homography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration.
