a addresses
these challenges by integrating a novel architectural inference model and a
second-stage expressive diffusion prior, which not only facilitates effective
inference of shared latent representation but also significantly improves the
quality of downstream multimodal synthesis. We validate ShaLa extensively
across multiple benchmarks, demonstrating superior coherence and synthesis
quality compared to state-of-the-art multimodal VAEs. Furthermore, ShaLa scales
to many more modalities while prior mul