Geometric Matching

13 papers with code • 0 benchmarks • 0 datasets

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Greatest papers with code

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.

Geometric Matching Virtual Try-on

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.

Geometric Matching

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.

Geometric Matching

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.

Autonomous Vehicles Depth Estimation +6

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.

Dense Pixel Correspondence Estimation Geometric Matching +1

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.

Dense Pixel Correspondence Estimation Geometric Matching +1

SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On

levindabhi/SieveNet 17 Jan 2020

An efficient framework for this is composed of two stages: (1) warping (transforming) the try-on cloth to align with the pose and shape of the target model, and (2) a texture transfer module to seamlessly integrate the warped try-on cloth onto the target model image.

Geometric Matching Virtual Try-on

Convolutional Hough Matching Networks

juhongm999/chm CVPR 2021

Despite advances in feature representation, leveraging geometric relations is crucial for establishing reliable visual correspondences under large variations of images.

Geometric Matching Semantic correspondence

Facial Expression Retargeting from Human to Avatar Made Easy

kychern/FacialRetargeting 12 Aug 2020

Then we construct correspondences between the two latent spaces guided by geometric and perceptual constraints.

Geometric Matching