Zhu, J and Kelly, T orcid.org/0000-0002-6575-3682 (2021) Seamless Satellite-image Synthesis. In: Computer Graphics Forum. Pacific Graphics 20+21, 18-21 Oct 2021, Wellington, New Zealand. Wiley , pp. 193-204.
Abstract
We introduce Seamless Satellite-image Synthesis (SSS), a novel neural architecture to create scale-and-space continuous satellite textures from cartographic data. While 2D map data is cheap and easily synthesized, accurate satellite imagery is expensive and often unavailable or out of date. Our approach generates seamless textures over arbitrarily large spatial extents which are consistent through scale-space. To overcome tile size limitations in image-to-image translation approaches, SSS learns to remove seams between tiled images in a semantically meaningful manner. Scale-space continuity is achieved by a hierarchy of networks conditioned on style and cartographic data. Our qualitative and quantitative evaluations show that our system improves over the state-of-the-art in several key areas. We show applications to texturing procedurally generation maps and interactive satellite image manipulation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Author(s) Computer Graphics Forum © 2021 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Zhu, J and Kelly, T (2021) Seamless Satellite-image Synthesis. In: Computer Graphics Forum. Pacific Graphics 20+21, 18-21 Oct 2021, Wellington, New Zealand. Wiley , pp. 193-204., which has been published in final form at https://doi.org/10.1111/cgf.14413. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. |
Keywords: | CCS Concepts; Computing methodologies → Texturing; Image processing |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Sep 2021 09:03 |
Last Modified: | 30 Nov 2023 15:08 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/cgf.14413 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177649 |