Dual Contradistinctive Generative Autoencoder

We present a new generative autoencoder model with dual contradistinctive losses to improve generative autoencoder that performs simultaneous inference (reconstruction) and synthesis (sampling). Our model, named dual contradistinctive generative autoencoder (DC-VAE), integrates an instance-level dis...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 823 - 832
Main Authors:	Parmar, Gaurav, Li, Dacheng, Lee, Kwonjoon, Tu, Zhuowen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2021
Subjects:	Computational modeling Computer vision Encoding Generative adversarial networks Image resolution Image synthesis Interpolation
ISSN:	1063-6919
Online Access:	Get full text
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