Translations:Diffusion Models Are Real-Time Game Engines/59/zh: 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>.

因此，我们对512个随机保留的轨迹计算FVD（Unterthiner等人，2019），测量预测轨迹分布与真实值轨迹分布之间的距离，仿真的长度为16帧（0.8秒）和32帧（1.6秒）。对于16帧，我们的模型获得的FVD为 $114.02$ 。对于32帧，我们的模型获得的FVD为 $186.23$ 。