AI RESEARCH
Multi-Component VAE with Gaussian Markov Random Field
arXiv CS.LG
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ArXi:2507.12165v3 Announce Type: replace Multi-component datasets with intricate dependencies, like industrial assemblies or multi-modal imaging, challenge current generative modeling techniques. Existing Multi-component Variational AutoEncoders typically rely on simplified aggregation strategies, neglecting critical nuances and consequently compromising structural coherence across generated components. To explicitly address this gap, we