Generating the Future with Adversarial Transformers
We learn models to generate the immediate future in video. This problem has two main challenges. Firstly, since the future is uncertain, models should be multi-modal, which can be difficult to learn. Secondly, since the future is similar to the past, models store low-level details, which complicates...
| Autores principales: | , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
IEEE
2020
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| Acceso en línea: | https://hdl.handle.net/1721.1/123483 |