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Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion
Masked diffusion models have shown promising performance in generating high-quality samples in a wide range of domains, but accelerating their sampling process remains relatively underexplored. To investigate efficient samplers for masked diffusion, this paper theoretically analyzes the MaskGIT samp
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