A survey of multimodal deep generative models

被引:0
|
作者
Suzuki, Masahiro [1 ]
Matsuo, Yutaka [1 ]
机构
[1] Department of Technology Management for Innovation, The University of Tokyo, Tokyo, Japan
来源
Advanced Robotics | 2022年 / 36卷 / 5-6期
关键词
Auto encoders - Building model - Cross-modal - Deep generative model - Generative model - Multi-modal - Multi-modal data - Multi-modal learning - Prediction-based - Shared representations;
D O I
暂无
中图分类号
学科分类号
摘要
126
引用
收藏
页码:261 / 278
相关论文
共 50 条
  • [1] A survey of multimodal deep generative models
    Suzuki, Masahiro
    Matsuo, Yutaka
    ADVANCED ROBOTICS, 2022, 36 (5-6) : 261 - 278
  • [2] Deep Generative Models: Survey
    Oussidi, Achraf
    Elhassouny, Azeddine
    2018 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND COMPUTER VISION (ISCV2018), 2018,
  • [3] Deep Generative Models for Synthetic Data: A Survey
    Eigenschink, Peter
    Reutterer, Thomas
    Vamosi, Stefan
    Vamosi, Ralf
    Sun, Chang
    Kalcher, Klaudius
    IEEE ACCESS, 2023, 11 : 47304 - 47320
  • [4] Multimodal and multicontrast image fusion via deep generative models
    Dimitri, Giovanna Maria
    Spasov, Simeon
    Duggento, Andrea
    Passamonti, Luca
    Lio, Pietro
    Toschi, Nicola
    INFORMATION FUSION, 2022, 88 : 146 - 160
  • [5] Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
    Saeedi, Ardavan
    Hoffman, Matthew D.
    DiVerdi, Stephen J.
    Ghandeharioun, Asma
    Johnson, Matthew J.
    Adams, Ryan P.
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 84, 2018, 84
  • [6] Deep generative models for multimodal MRI conversion in multiple sclerosis
    Vivo Pascual, Francesc
    Solana, Elisabeth
    Kanber, Baris
    Calvi, Alberto
    Lopez-Soley, Elisabet
    Cabrera Maqueda, Jose Maria
    Alba-Arbalat, Salut
    Sepulveda, Maria
    Blanco, Yolanda
    Saiz, Albert
    Prados, Ferran
    Llufriu, Sara
    Martinez-Heras, Eloy
    MULTIPLE SCLEROSIS JOURNAL, 2024, 30 (03) : 538 - 539
  • [7] Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
    Chen, Phil
    Itkina, Masha
    Senanayake, Ransalu
    Kochenderfer, Mykel J.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [8] Deep Generative Models in the Industrial Internet of Things: A Survey
    De, Suparna
    Bermudez-Edo, Maria
    Xu, Honghui
    Cai, Zhipeng
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (09) : 5728 - 5737
  • [9] A Systematic Survey on Deep Generative Models for Graph Generation
    Guo, Xiaojie
    Zhao, Liang
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 45 (05) : 5370 - 5390
  • [10] Deep learning with the generative models for recommender systems: A survey
    Nahta, Ravi
    Chauhan, Ganpat Singh
    Meena, Yogesh Kumar
    Gopalani, Dinesh
    COMPUTER SCIENCE REVIEW, 2024, 53