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Introduces renormalization group flow matching (RGFM), a generative framework that uses renormalization group flow for scalable local generative modeling, improving global coherence and computational efficiency.
UniSpace introduces a unified visual representation that unifies semantic understanding, high-fidelity reconstruction, and image generation in a single space using a reparameterized ViT, eliminating the need for a separate VAE.