AsyncPatch Diffusion introduces asynchronous per-region noise levels in diffusion models, proves a valid ELBO, and uses a controlled sampler to support spatially adaptive generation and native inpainting.
Gud: Generation with unified diffusion
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Low-Pass Flow Matching modifies Flow Matching via an operator-modulated interpolant inducing time-varying spectral bias from source spectrum to frequency-decaying bias, improving or preserving quality while reducing sampling cost on unconditional image generation including Galaxy10.
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AsyncPatch Diffusion: spatially-flexible image generation
AsyncPatch Diffusion introduces asynchronous per-region noise levels in diffusion models, proves a valid ELBO, and uses a controlled sampler to support spatially adaptive generation and native inpainting.