Geometric Matching

24 papers with code • 1 benchmarks • 1 datasets

This task has no description! Would you like to contribute one?

Libraries

Use these libraries to find Geometric Matching models and implementations

Datasets


Most implemented papers

Convolutional neural network architecture for geometric matching

ignacio-rocco/cnngeometric_pytorch CVPR 2017

We address the problem of determining correspondences between two images in agreement with a geometric model such as an affine or thin-plate spline transformation, and estimating its parameters.

Toward Characteristic-Preserving Image-based Virtual Try-On Network

sergeywong/cp-vton ECCV 2018

Second, to alleviate boundary artifacts of warped clothes and make the results more realistic, we employ a Try-On Module that learns a composition mask to integrate the warped clothes and the rendered image to ensure smoothness.

Learning Accurate Dense Correspondences and When to Trust Them

PruneTruong/PDCNet CVPR 2021

Establishing dense correspondences between a pair of images is an important and general problem.

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Wuschelbueb/AML19-SelfSupervised 26 Jun 2014

While such generic features cannot compete with class specific features from supervised training on a classification task, we show that they are advantageous on geometric matching problems, where they also outperform the SIFT descriptor.

GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences

PruneTruong/GLU-Net CVPR 2020

Establishing dense correspondences between a pair of images is an important and general problem, covering geometric matching, optical flow and semantic correspondences.

GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network

PruneTruong/GLU-Net NeurIPS 2020

We propose GOCor, a fully differentiable dense matching module, acting as a direct replacement to the feature correlation layer.

Correlation Verification for Image Retrieval

sungonce/cvnet CVPR 2022

Geometric verification is considered a de facto solution for the re-ranking task in image retrieval.

C-VTON: Context-Driven Image-Based Virtual Try-On Network

benquick123/c-vton 8 Dec 2022

At the core of the C-VTON pipeline are: (i) a geometric matching procedure that efficiently aligns the target clothing with the pose of the person in the input images, and (ii) a powerful image generator that utilizes various types of contextual information when synthesizing the final try-on result.

ContextDesc: Local Descriptor Augmentation with Cross-Modality Context

lzx551402/contextdesc CVPR 2019

Most existing studies on learning local features focus on the patch-based descriptions of individual keypoints, whereas neglecting the spatial relations established from their keypoint locations.

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation

TRI-ML/KP3D 7 Dec 2019

Detecting and matching robust viewpoint-invariant keypoints is critical for visual SLAM and Structure-from-Motion.