Cross-View Image-to-Image Translation

8 papers with code • 8 benchmarks • 4 datasets

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Most implemented papers

Image-to-Image Translation with Conditional Adversarial Networks

phillipi/pix2pix CVPR 2017

We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Ha0Tang/SelectionGAN CVPR 2019

In this paper, we propose a novel approach named Multi-Channel Attention SelectionGAN (SelectionGAN) that makes it possible to generate images of natural scenes in arbitrary viewpoints, based on an image of the scene and a novel semantic map.

Cross-view image synthesis using geometry-guided conditional GANs

kregmi/cross-view-image-synthesis 14 Aug 2018

For this, we propose to use homography as a guide to map the images between the views based on the common field of view to preserve the details in the input image.

Predicting Ground-Level Scene Layout from Aerial Imagery

viibridges/crossnet CVPR 2017

We use our network to address the task of estimating the geolocation and geoorientation of a ground image.

Cross-View Image Matching for Geo-localization in Urban Environments

viibridges/crossnet CVPR 2017

Next, for each building in the query image, we retrieve the $k$ nearest neighbors from the reference buildings using a Siamese network trained on both positive matching image pairs and negative pairs.

Cross-View Image Synthesis using Conditional GANs

kregmi/cross-view-image-synthesis CVPR 2018

X-Fork architecture has a single discriminator and a single generator.

Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs

qianmingduowan/Sat2Density ICCV 2023

This paper aims to develop an accurate 3D geometry representation of satellite images using satellite-ground image pairs.