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International Conference on Scale Space and Variational Methods in Computer Vision

SSVM 2021: Scale Space and Variational Methods in Computer Vision pp 346–357Cite as

Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12679))

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.

This work was funded in part by the French government under management of Agence Nationale de la Recherche as part of the “Investissements d’avenir” program, reference ANR-19-P3IA-0001 (PRAIRIE 3IA Institute).

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Authors and Affiliations

  1. CEREMADE, UMR CNRS 7534, Université Paris Dauphine, PSL, Place du Marechal de Lattre de Tassigny, 75775, Paris cedex 16, France

    Changqing Fu & Laurent D. Cohen

Authors
  1. Changqing Fu
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  2. Laurent D. Cohen
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Corresponding author

Correspondence to Changqing Fu .

Editor information

Editors and Affiliations

  1. UNICAEN, GREYC – Normandy University, Caen, France

    Abderrahim Elmoataz

  2. ENSICAEN, GREYC – Normandy University, Caen, France

    Jalal Fadili

  3. CNRS, GREYC – Normandy University, Caen, France

    Yvain Quéau

  4. UNICAEN, GREYC – Normandy University, Caen, France

    Julien Rabin

  5. ENSICAEN, GREYC – Normandy University, Caen, France

    Loïc Simon

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Fu, C., Cohen, L.D. (2021). Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation. In: Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J., Simon, L. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science(), vol 12679. Springer, Cham. https://doi.org/10.1007/978-3-030-75549-2_28

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  • DOI: https://doi.org/10.1007/978-3-030-75549-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-75548-5

  • Online ISBN: 978-3-030-75549-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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