Quaternion Vector Quantized Variational Autoencoder

Vector quantized variational autoencoders, as variants of variational autoencoders, effectively capture discrete representations by quantizing continuous latent spaces and are widely used in generative tasks. However, these models still face limitations in handling complex image reconstruction, part...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE signal processing letters Vol. 32; pp. 151 - 155
Main Authors:	Luo, Hui, Liu, Xin, Sun, Jian, Zhang, Yang
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Convolution Decoding Face recognition Image quality Image reconstruction Indexes Multidimensional data Neural networks Parameters Quantization (signal) quaternion generative models quaternion neural networks Quaternions Task complexity Training vector quantized variational autoencoder Vectors
ISSN:	1070-9908, 1558-2361
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!