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Abstract
Unsupervised image-to-image translation techniques are able to map local texture between two domains, but they are typically unsuccessful when the domains require larger shape change. Inspired by semantic segmentation, we introduce a discriminator with dilated convolutions that is able to use information from across the entire image to train a more context-aware generator. This is coupled with a multi-scale perceptual loss that is better able to represent error in the underlying shape of objects. We demonstrate that this design is more capable of representing shape deformation in a challenging toy dataset, plus in complex mappings with significant dataset variation between humans, dolls, and anime faces, and between cats and dogs.
Original language | English |
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Title of host publication | Proceedings of European Conference on Computer Vision (ECCV) |
Subtitle of host publication | Computer Vision - ECCV 2018 |
Editors | Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss |
Publisher | Springer Verlag |
Pages | 662-678 |
Number of pages | 17 |
Volume | 11216 |
ISBN (Electronic) | 978-3-030-01258-8 |
ISBN (Print) | 978-3-030-01257-1 |
DOIs | |
Publication status | E-pub ahead of print - 6 Oct 2018 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11216 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Keywords
- Generative adversarial networks
- Image translation
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
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Dive into the research topics of 'Improving Shape Deformation in Unsupervised Image-to-Image Translation'. Together they form a unique fingerprint.Projects
- 1 Finished
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D. (PI), Bilzon, J. (CoI), Campbell, N. (CoI), Cazzola, D. (CoI), Colyer, S. (CoI), Fincham Haines, T. (CoI), Hall, P. (CoI), Kim, K. I. (CoI), Lutteroth, C. (CoI), McGuigan, P. (CoI), O'Neill, E. (CoI), Richardt, C. (CoI), Salo, A. (CoI), Seminati, E. (CoI), Tabor, A. (CoI) & Yang, Y. (CoI)
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council