AI RESEARCH
LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling
arXiv CS.CV
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ArXi:2605.07253v1 Announce Type: new Distilled diffusion models accelerate image generation by reducing the number of denoising steps, but often suffer from degraded image quality. To mitigate this trade-off, test-time optimization methods improve quality, yet their iterative nature incurs substantial computational overhead and leads to slow inference, limiting practical usability. Recent hypernetwork-based approaches amortize this process during