Cargando…

Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks

Generative Adversarial Nets (GANs) are one of the most popular architectures for image generation, which has achieved significant progress in generating high-resolution, diverse image samples. The normal GANs are supposed to minimize the Kullback–Leibler divergence between distributions of natural a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cai, Likun, Chen, Yanjie, Cai, Ning, Cheng, Wei, Wang, Hao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516886/ https://www.ncbi.nlm.nih.gov/pubmed/33286184 http://dx.doi.org/10.3390/e22040410

Ejemplares similares

The SCHWIND AMARIS Total-Tech Laser as An All-Rounder in Refractive Surgery
por: Arbelaez, Maria Clara, et al.
Publicado: (2009)

Distributed Training of Generative Adversarial Networks for Fast Simulation
por: Vallecorsa, Sofia, et al.
Publicado: (2019)

Impact of quantum noise on the training of quantum Generative Adversarial Networks
por: Borras, Kerstin, et al.
Publicado: (2023)

Evaluating POWER Architecture for Distributed Training of Generative Adversarial Networks
por: Hesam, Ahmad, et al.
Publicado: (2019)

Generating mobility networks with generative adversarial networks
por: Mauro, Giovanni, et al.
Publicado: (2022)

Generative adversarial networks for image generation
por: Mao, Xudong, et al.
Publicado: (2021)

Hands-on generative adversarial networks with Keras: your guide to implementing next-generation generative adversarial networks
por: Valle, Rafael
Publicado: (2019)

Comparison of Wavelight Allegretto Eye-Q and Schwind Amaris 750S excimer laser in treatment of high astigmatism
por: Bohac, Maja, et al.
Publicado: (2014)

Advanced Generative Adversarial Network Techniques
por: Glombitza, Jonas
Publicado: (2019)

Generative Adversarial Networks for fast simulation
por: Carminati, Federico, et al.
Publicado: (2020)

Beautification of images by generative adversarial networks
por: Music, Amar, et al.
Publicado: (2023)

Particle Cloud Generation with Message Passing Generative Adversarial Networks
por: Kansal, Raghav, et al.
Publicado: (2021)

Large-scale distributed training applied to generative adversarial networks for calorimeter simulation
por: Vlimant, Jean-Roch, et al.
Publicado: (2019)

Data-Parallel Training of Generative Adversarial Networks on HPC Systems for HEP Simulations
por: Vallecorsa, Sofia, et al.
Publicado: (2018)

Adaptive divergence for rapid adversarial optimization
por: Borisyak, Maxim, et al.
Publicado: (2020)

4th Conference on Information Geometry and its Applications : on the occasion of Shun-Ichi Amari's 80th birthday
por: Ay, Nihat, et al.
Publicado: (2018)

Cast Shadow Generation Using Generative Adversarial Networks
por: Taif, Khasrouf, et al.
Publicado: (2020)

Generative adversarial network based synthetic data training model for lightweight convolutional neural networks
por: Rather, Ishfaq Hussain, et al.
Publicado: (2023)

Generative Adversarial Training for Supervised and Semi-supervised Learning
por: Wang, Xianmin, et al.
Publicado: (2022)

Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
por: Kao, Po-Yu, et al.
Publicado: (2023)

Training generative adversarial networks for optical property mapping using synthetic image data
por: Osman, A., et al.
Publicado: (2022)

Generative Adversarial Networks for LHCb Fast Simulation
por: Ratnikov, Fedor
Publicado: (2019)

Generative Adversarial Networks for LHCb Fast Simulation
por: Ratnikov, Fedor
Publicado: (2020)

Generative Adversarial Networks for Crystal Structure Prediction
por: Kim, Sungwon, et al.
Publicado: (2020)

Tomographic reconstruction with a generative adversarial network
por: Yang, Xiaogang, et al.
Publicado: (2020)

Photoacoustic image synthesis with generative adversarial networks
por: Schellenberg, Melanie, et al.
Publicado: (2022)

Generative adversarial networks in EEG analysis: an overview
por: Habashi, Ahmed G., et al.
Publicado: (2023)

Editorial: Generative adversarial networks in cardiovascular research
por: Zhang, Qiang, et al.
Publicado: (2023)

Phylogenetic inference using generative adversarial networks
por: Smith, Megan L, et al.
Publicado: (2023)

On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data Augmentation
por: Lorencin, Ivan, et al.
Publicado: (2021)

Conditional Progressive Generative Adversarial Network for satellite image generation
por: Cardoso, Renato, et al.
Publicado: (2022)

Path Generator with Unpaired Samples Employing Generative Adversarial Networks
por: Maldonado-Romo, Javier, et al.
Publicado: (2022)

End-to-End Automatic Classification of Retinal Vessel Based on Generative Adversarial Networks with Improved U-Net
por: Zhang, Jieni, et al.
Publicado: (2023)

Diversifying Emotional Dialogue Generation via Selective Adversarial Training
por: Li, Bo, et al.
Publicado: (2023)

Comparison of Corneal Wavefront-optimized and Wavefront-guided Alcohol-assisted Photorefractive Keratectomy Using Schwind Amaris 750S Laser for Myopia
por: Kang, Min-Ji, et al.
Publicado: (2020)

HRGAN: A Generative Adversarial Network Producing Higher-Resolution Images than Training Sets
por: Park, Minyoung, et al.
Publicado: (2022)

SUGAN: A Stable U-Net Based Generative Adversarial Network
por: Cheng, Shijie, et al.
Publicado: (2023)

The Generative Adversarial Brain
por: Gershman, Samuel J.
Publicado: (2019)

Three dimensional Generative Adversarial Networks for fast simulation
por: Carminati, F, et al.
Publicado: (2018)

Fast Simulation Using Generative Adversarial Network in LHCB
por: Maevskiy, Artem
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_5dqi69jbtk3id13lcg7719m6k7