Learning to Manipulate Individual Objects in an Image
We describe a method to train a generative model with latent factors that are (approximately) independent and localized. This means that perturbing the latent variables affects only local regions of the synthesized image, corresponding to objects. Unlike other unsupervised generative models, ours en...
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Published in | Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 6557 - 6566 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.01.2020
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Subjects | |
Online Access | Get full text |
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