AI RESEARCH
Repurposing Geometric Foundation Models for Multi-view Diffusion
arXiv CS.CV
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ArXi:2603.22275v1 Announce Type: new While recent advances in generative latent spaces have driven substantial progress in single-image generation, the optimal latent space for novel view synthesis (NVS) remains largely unexplored. In particular, NVS requires geometrically consistent generation across viewpoints, but existing approaches typically operate in a view-independent VAE latent space.