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2021 | OriginalPaper | Buchkapitel

Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation

verfasst von : Changqing Fu, Laurent D. Cohen

Erschienen in: Scale Space and Variational Methods in Computer Vision

Verlag: Springer International Publishing

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Abstract

A novel two-stage approach is proposed for image manipulation and generation. User-interactive image deformation is performed through editing of contours. This is performed in the latent edge space with both color and gradient information. The output of editing is then fed into a multi-scale representation of the image to recover quality output. The model is flexible in terms of transferability and training efficiency.

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Vorheriges Kapitel Synthetic Images as a Regularity Prior for Image Restoration Neural Networks

Nächstes Kapitel Learning Local Regularization for Variational Image Restoration

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Titel: Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation
verfasst von: Changqing Fu
Laurent D. Cohen
Verlag: Springer International Publishing
Buch: Scale Space and Variational Methods in Computer Vision
Print ISBN: 978-3-030-75548-5

Electronic ISBN: 978-3-030-75549-2

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-75549-2_28

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