Translations:Diffusion Models Are Real-Time Game Engines/10/es: Difference between revisions

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Several important works (Ha & Schmidhuber, [https://arxiv.org/html/2408.14837v1#bib.bib10 2018]; Kim et al., [https://arxiv.org/html/2408.14837v1#bib.bib16 2020]; Bruce et al., [https://arxiv.org/html/2408.14837v1#bib.bib7 2024]) (see Section [https://arxiv.org/html/2408.14837v1#S6 6]) simulate interactive video games with neural models. Nevertheless, most of these approaches are limited in respect to the complexity of the simulated games, simulation speed, stability over long time periods, or visual quality (see Figure [https://arxiv.org/html/2408.14837v1#S1.F2 2]). It is therefore natural to ask:

Varios trabajos importantes (Ha & Schmidhuber, 2018; Kim et al., 2020; Bruce et al., 2024) (véase la Sección 6) simulan videojuegos interactivos con modelos neuronales. Sin embargo, la mayoría de estos enfoques están limitados en cuanto a la complejidad de los juegos simulados, la velocidad de simulación, la estabilidad a lo largo de largos períodos de tiempo o la calidad visual (véase la Figura 2). Por lo tanto, es natural preguntarse: