A Appendix for Learning Signal-Agnostic Manifolds of Neural Fields

In Section A.1 below, we provide details on training settings, as well as the underlying baseline We will add these details to the appendix of the paper. We next describe details necessary to reproduce each of other underlying empirical results. GEM performs significantly outperforms baselines. Table 1: Test CelebA-HQ reconstruction results of different methods evaluated across 3 different seeds. We provide source locations to download each of the datasets we used in the paper.