January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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Transforming attributes
The attributes of images can be changed using generative models. A person's face could be modified to reflect different attributes such as gender, glasses, age, and so on, as shown here by Lample et al. (https://research.fb.com/wp-content/uploads/2017/11/fader_networks__conditional_attribute_based_image_generation_by_disentangling_in_latent_space.pdf):
Reproduced with Lample et al.
Changing the attributes can be used for creative applications as well as for fun, and can also be used for generating more training data with variations.
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