Open Access
Procedia Computer Science, volume 193, pages 422-431
MVAESynth: A unified framework for multimodal data generation, modality restoration, and controlled generation
Publication type: Journal Article
Publication date: 2021-11-19
Journal:
Procedia Computer Science
Quartile SCImago
— Quartile WOS
—
Impact factor: —
ISSN: 18770509
General Medicine
Metrics
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Lysenko A., Deeva I., Shikov E. MVAESynth: A unified framework for multimodal data generation, modality restoration, and controlled generation // Procedia Computer Science. 2021. Vol. 193. pp. 422-431.
GOST all authors (up to 50)
Copy
Lysenko A., Deeva I., Shikov E. MVAESynth: A unified framework for multimodal data generation, modality restoration, and controlled generation // Procedia Computer Science. 2021. Vol. 193. pp. 422-431.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.procs.2021.10.044
UR - https://doi.org/10.1016%2Fj.procs.2021.10.044
TI - MVAESynth: A unified framework for multimodal data generation, modality restoration, and controlled generation
T2 - Procedia Computer Science
AU - Lysenko, Anton
AU - Shikov, Egor
AU - Deeva, Irina
PY - 2021
DA - 2021/11/19 00:00:00
PB - Elsevier
SP - 422-431
VL - 193
SN - 1877-0509
ER -
Cite this
BibTex
Copy
@article{2021_Lysenko
author = {Anton Lysenko and Egor Shikov and Irina Deeva},
title = {MVAESynth: A unified framework for multimodal data generation, modality restoration, and controlled generation},
journal = {Procedia Computer Science},
year = {2021},
volume = {193},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016%2Fj.procs.2021.10.044},
pages = {422--431},
doi = {10.1016/j.procs.2021.10.044}
}
Profiles