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Diffusion transformers have demonstrated remarkable generation quality, albeit requiring longer training iterations and numerous inference steps.
Adam: A method for stochastic optimization
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Flow matching for generative modeling
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Applying guidance in a limited interval improves sample and distribution quality in diffusion models
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Scalable diffusion models with transformers
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