A covariance-aware extension of DDIM sampling for pixel-space diffusion models that uses Tweedie's formula and Fourier decomposition to model reverse-process covariance and improves sample quality at low NFE.
Guidance in the Frequency Domain Enables High- Fidelity Sampling at Low CFG Scales,
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3representative citing papers
SpectralDiT adds timestep-conditioned spectral residual correction to flow-matching DiTs and reports FID reductions of 5% on CIFAR-10 and 8.7% relative on ImageNet-100 latent diffusion with under 2% added parameters.
C²FG provides a time-dependent guidance controller for diffusion models derived from score discrepancy upper bounds, implemented as an exponential decay function without retraining.
citing papers explorer
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Covariance-aware sampling for Diffusion Models
A covariance-aware extension of DDIM sampling for pixel-space diffusion models that uses Tweedie's formula and Fourier decomposition to model reverse-process covariance and improves sample quality at low NFE.
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SpectralDiT: Timestep-Conditioned Spectral Residual Correction for Flow-Matching DiTs
SpectralDiT adds timestep-conditioned spectral residual correction to flow-matching DiTs and reports FID reductions of 5% on CIFAR-10 and 8.7% relative on ImageNet-100 latent diffusion with under 2% added parameters.
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C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis
C²FG provides a time-dependent guidance controller for diffusion models derived from score discrepancy upper bounds, implemented as an exponential decay function without retraining.