timodal VAEs have fallen short in
capturing the increasing complexity of the shared latent space.</p>
            
            <p class="paper-tldr"><strong>TLDR</strong>: The paper introduces ShaLa, a novel generative framework that uses a new architectural inference model and diffusion prior to learn shared latent representations across multiple modalities, improving both inference and synthesis quality compared to multimodal VAEs.</p>
            
            
            <p class="paper-tldr"><strong>TL