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Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models "we replace reward guided test-time noise optimization in diffusion models with a Noise Hypernetwork that modulates initial input noise." "We show that our approach recovers a substantial portion of the quality gains from explicit test-time optimization at a fraction of the computational cost."
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