Search Results - vector-quantized variational autoencoder

Hierarchical Vector-Quantized Variational Autoencoder and Vector Credibility Mechanism for High-Quality Image Inpainting by Li, Cheng, Xu, Dan, Chen, Kuai

“…Image inpainting infers the missing areas of a corrupted image according to the information of the undamaged part. Many existing image inpainting methods can…”
Get full text

Quaternion Vector Quantized Variational Autoencoder by Luo, Hui, Liu, Xin, Sun, Jian, Zhang, Yang

“…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…”
Get full text

Vector-Quantized Variational AutoEncoder for pansharpening by Talbi, Farid, Chikr Elmezouar, Miloud, Boutellaa, Elhocine, Alim, Fatiha

“… This paper describes a new, efficient, and accurate pansharpening architecture. The Vector-Quantized Variational AutoEncoder (VQ-VAE…”
Get full text

FactorVQVAE: Discrete latent factor model via Vector Quantized Variational Autoencoder by Kim, Namhyoung, Ock, Seung Eun, Song, Jae Wook

“…This study introduces FactorVQVAE, the first integration of the Vector Quantized Variational Autoencoder (VQVAE…”
Get full text

Attention-based vector quantized variational autoencoder for anomaly detection by using orthogonal subspace constraints by Yu, Qien, Dai, Shengxin, Dong, Ran, Ikuno, Soichiro

“…This paper introduces a new framework that uses a vector quantized variational autoencoder (VQVAE…”
Get full text

Frequency enhanced vector quantized variational autoencoder for structural vibration response compression by Xue, Zhilin, An, Yonghui, Ou, Jinping

“…•The frequency enhanced vector quantized variational autoencoder (FEVQVAE) is proposed for structural vibration response compression…”
Get full text

Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model by Zou, Yue, Li, Zhenhao, Zhang, Menghan, Li, Ziwei, Yin, Xiaojie, Yang, Long, Hu, Weigang, Wang, Jiazhou

“… Predicting these changes may benefit adaptive radiotherapy (ART) in nasopharyngeal cancer. Purpose This study proposes a vector quantized variational autoencoder (VQ‐VAE…”
Get full text

Data augmentation for Gram-stain images based on Vector Quantized Variational AutoEncoder by V, Shwetha, Prasad, Keerthana, Mukhopadhyay, Chiranjay, Banerjee, Barnini

“… In this regard, we investigate a novel application of the Variational AutoEncoder. Specifically, the Vector Quantized Variational AutoEncoder model is trained to generate the Gram-stain images…”
Get full text

S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction by Adiban, Mohammad, Stefanov, Kalin, Siniscalchi, Sabato Marco, Salvi, Giampiero

“… (i) a novel hierarchical residual learning vector quantized variational autoencoder (HR-VQVAE), and (ii) a novel autoregressive spatiotemporal predictive model…”
Get full text

SSL-VQ: vector-quantized variational autoencoders for semi-supervised prediction of therapeutic targets across diverse diseases by Namba, Satoko, Li, Chen, Yuyama Otani, Noriko, Yamanishi, Yoshihiro

“… rare diseases, intractable diseases). Results This study presents a novel machine learning approach using multimodal vector-quantized variational autoencoders (VQ-VAEs…”
Get full text

A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis by Wang, Xin, Takaki, Shinji, Yamagishi, Junichi, King, Simon, Tokuda, Keiichi

“… In subjective evaluations, a deep AR model (DAR) outperformed an RNN. Here, we propose a Vector Quantized Variational Autoencoder (VQ-VAE…”
Get full text

466.4-Gbit/s PCS-64QAM wireless transmission enhanced by dual-polarized SISO link and vector-quantized variational autoencoders by Liu, Xiang, Zhang, Jiao, Zhu, Min, Xin, Zhigang, Dong Tong, Wei, Wang, Yunwu, Cai, Yuancheng, Hua, Bingchang, Lei, Mingzheng, Liu, Bo, Yu, Jianjun

“…) wireless delivery at 92.5 GHz. This is achieved by employing a likelihood-aware vector-quantized variational autoencoder (VQ-VAE…”
Get full text

Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection by Gangloff, Hugo, Pham, Minh-Tan, Courtrai, Luc, Lefevre, Sebastien

“… In this context, deep generative models are widely used, in particular Variational Autoencoder (VAE) models. VAEs have been extended to Vector-Quantized VAEs…”
Get full text

Vector Quantized Variational Autoencoder-Based Compressive Sampling Method for Time Series in Structural Health Monitoring by Liang, Ge, Ji, Zhenglin, Zhong, Qunhong, Huang, Yong, Han, Kun

“…The theory of compressive sampling (CS) has revolutionized data compression technology by capitalizing on the inherent sparsity of a signal to enable signal…”
Get full text

Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders by Marimont, Sergio Naval, Tarroni, Giacomo

“…We propose an out-of-distribution detection method that combines density and restoration-based approaches using Vector-Quantized Variational Auto-Encoders (VQ-VAEs…”
Get full text

Connectionist temporal classification loss for vector quantized variational autoencoder in zero-shot voice conversion by Kang, Xiao, Huang, Hao, Hu, Ying, Huang, Zhihua

“…•Thorough analysis provides useful insight into representation disentangling. Vector quantized variational autoencoder (VQ-VAE…”
Get full text

SVQ-VAE: Federated-Learning-Based Semantic-Aware Communication for Vehicular Networks by Jin, Zhu, Li, Yundi, Song, Tiecheng, Jia, Wen-Kang, Song, Xiaoqin

“…The integration of semantic communication technology into intelligent vehicular networks represents a promising research direction, as it significantly reduces…”
Get full text

Crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder by Kobayashi, Kazuhiro, Huang, Wen-Chin, Wu, Yi-Chiao, Tobing, Patrick Lumban, Hayashi, Tomoki, Toda, Tomoki

“… For implementing the VC software, we used a vector-quantized variational autoencoder (VQVAE). To rapidly examine the effectiveness…”
Get full text

Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals by Kompella, Srihari Kamesh, Davaslioglu, Kemal, Sagduyu, Yalin E., Kompella, Sastry

“…Radio frequency (RF) communication has been an important part of civil and military communication for decades. With the increasing complexity of wireless…”
Get full text

Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers by Backova, Lenka, Bengoetxea, Guillermo, Rogalla, Svana, Franco-Barranco, Daniel, Solon, Jerome, Arganda-Carreras, Ignacio

“… We model the wound healing process as a video prediction task for which we utilize a two-stage approach with a vector quantized variational autoencoder and an autoregressive transformer…”
Get full text