loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Kshitij Singh ; Alexia Briassouli and Mirela Popa

Affiliation: Department of Data Science and Knowledge Engineering, Maastricht University, The Netherlands

Keyword(s): Cross View Image Translation, Conditional GANs, Semantic Segmentation, U-net.

Abstract: Cross view image translation is a challenging case of viewpoint translation which involves generating the street view image when the aerial view image is given and vice versa. As there is no overlap in the two views, a single stage generation network fails to capture the complex scene structure of objects in these two views. Our work aims to tackle the task of generating street level view images from aerial view images on the benchmarking CVUSA dataset by a cascade pipeline consisting of three smaller stages: street view image generation, semantic segmentation map generation, and image refinement, trained together in a constrained manner in a Conditional GAN (CGAN) framework. Our contributions are twofold: (1) The first stage of our pipeline examines the use of alternate architectures ResNet, ResUnet++ in a framework similar to the current State-of-the-Art (SoA), leading to useful insights and comparable or improved results in some cases. (2) In the 3rd stage, ResUNet++ is u sed for the first time for image refinement. U-net performs the best for street view image generation and semantic map generation as a result of the skip connections between encoders and decoders, while ResU-Net++ performs the best for image refinement because of the presence of the attention module in the decoders. Qualitative and quantitative comparisons with existing methods show that our model outperforms all others on the KL Divergence metric and ranks amongst the best for other metrics. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.221.53.209

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Singh, K.; Briassouli, A. and Popa, M. (2022). Aerial to Street View Image Translation using Cascaded Conditional GANs. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 372-379. DOI: 10.5220/0010814000003124

@conference{visapp22,
author={Kshitij Singh. and Alexia Briassouli. and Mirela Popa.},
title={Aerial to Street View Image Translation using Cascaded Conditional GANs},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={372-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010814000003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - Aerial to Street View Image Translation using Cascaded Conditional GANs
SN - 978-989-758-555-5
IS - 2184-4321
AU - Singh, K.
AU - Briassouli, A.
AU - Popa, M.
PY - 2022
SP - 372
EP - 379
DO - 10.5220/0010814000003124
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic