Translations:Diffusion Models Are Real-Time Game Engines/59/es: Difference between revisions

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We therefore measure the FVD (Unterthiner et al., [https://arxiv.org/html/2408.14837v1#bib.bib35 2019]) computed over a random holdout of 512 trajectories, measuring the distance between the predicted and ground truth trajectory distributions, for simulations of length 16 frames (0.8 seconds) and 32 frames (1.6 seconds). For 16 frames, our model obtains an FVD of <math>114.02</math>. For 32 frames, our model obtains an FVD of <math>186.23</math>.

Por lo tanto, medimos la FVD (Unterthiner et al., 2019) calculada sobre un conjunto de 512 trayectorias seleccionadas aleatoriamente, midiendo la distancia entre las distribuciones de trayectorias predichas y las de ground truth, para simulaciones con una duración de 16 fotogramas (0,8 segundos) y 32 fotogramas (1,6 segundos). Para 16 fotogramas, nuestro modelo obtiene una FVD de $114.02$ . Para 32 fotogramas, nuestro modelo obtiene una FVD de $186.23$ .