We propose a novel method that can learn easy-to-interpret latent representations in real-world image datasets using a VAE-based model by splitting an image into several disjoint regions. Our method performs object-wise disentanglement by exploiting image segmentation and alpha compositing. With remarkable results obtained by unsupervised disentanglement methods for toy datasets. rece... https://www.ngetikin.com/mega-save-NHL-Calgary-Flames-Home-Jersey-iPhone-XR-Skin-p120897-hot-value/