Schematic of the training of the VAE-deblender using two copies of the encoder network illustrated in Figure B.1. The trainable network learns to predict the latent space representation of the central galaxy by minimizing the Euclidian distance (marked in red) between its prediction (z_d) and the representation of the isolated galaxy (z_i) obtained by the fixed encoder trained as described in Appendix B.1.