NOVA represents world states as INR weights for decoder-free rendering, compactness, and unsupervised disentanglement of background, foreground, and motion in video world models.
LAPO [Schmidt and Jiang, 2023] and LAPA [Ye et al., 2024] learn inverse dynamics models that extract latent actions bridging consecutive states
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Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement
NOVA represents world states as INR weights for decoder-free rendering, compactness, and unsupervised disentanglement of background, foreground, and motion in video world models.