ML Anthology

Consistent Image Analogies Using Semi-Supervised Learning

Li Cheng, S. V. N. Vishwanathan, Xinhua Zhang
CVPR 2008
doi:10.1109/CVPR.2008.4587364 /cvpr/2008/cheng2008cvpr-consistent/

Abstract

In this paper we study the following problem: given two source images A and A′, and a target image B, can we learn to synthesize a new image B′ which relates to B in the same way that A′ relates to A′ We propose an algorithm which a) uses a semi-s

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Cite

Text

Cheng et al. "Consistent Image Analogies Using Semi-Supervised Learning." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008. doi:10.1109/CVPR.2008.4587364

Markdown

[Cheng et al. "Consistent Image Analogies Using Semi-Supervised Learning." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008.](https://mlanthology.org/cvpr/2008/cheng2008cvpr-consistent/) doi:10.1109/CVPR.2008.4587364

BibTeX

@inproceedings{cheng2008cvpr-consistent,
  title     = {{Consistent Image Analogies Using Semi-Supervised Learning}},
  author    = {Cheng, Li and Vishwanathan, S. V. N. and Zhang, Xinhua},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2008},
  doi       = {10.1109/CVPR.2008.4587364},
  url       = {https://mlanthology.org/cvpr/2008/cheng2008cvpr-consistent/}
}