Conditional Wasserstein Generator

Kim, Y., Lee, K., & Paik, M. C. (2023). Conditional Wasserstein Generator. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 7208–7219. https://doi.org/10.1109/tpami.2022.3220965

Authors:

Young-Geun Kim

Kyungbok Lee

Myunghee Cho Paik

Affiliated Authors:

Young-Geun Kim

Myunghee Cho Paik

Columbia Affiliation:

Vagelos College of Physicians and Surgeons
- Department of Psychiatry
Mailman School of Public Health
- Department of Biostatistics

Author Keywords:

conditional generation

generative model

optimal transport

video interpolation

video prediction

wasserstein distance

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Publication Type:

Article

Unique ID:

10.1109/TPAMI.2022.3220965

DOI:

10.1109/TPAMI.2022.3220965

Journal:

IEEE Transactions on Pattern Analysis and Machine Intelligence

Publication Date:

2023-06-01

Data Source:

Scopus

Source Link:

View Scopus Record

Record Created:

Monday, August 12, 2024 - 11:42