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CIFAR-10

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RESEARCH · 1 SOURCE · arXiv cs.AI

Energy-conditioned noise schedule and spectral whitening for transform-domain diffusion (arXiv:2610.07206v1)

This arXiv preprint introduces a global spectral whitening step combined with an energy-conditioned noise allocation for transform-domain (spectral) diffusion models. The proposed forward process preserves Gaussian transitions and is compatible with standard DDPM/DDIM sampling without changing model architecture; on CIFAR-10 a compact DCTdiff U-Net variant reduced FID from 142.48 to 100.45.

6.0

RESEARCH · 1 SOURCE · arXiv cs.AI

ACV-Gate: selective amortization of counterfactual reasoning for visual token communication

The paper introduces ACV-Gate, an adaptive candidate-evaluation framework that learns to approximate full-budget counterfactual evaluation for generative image communication and selectively applies exact evaluations only to the most informative candidates. On CIFAR-10 the primary configuration improves PSNR by 0.636 dB at 0.20 bpp while requiring on average 2.13 candidate evaluations per image (≈27.6% of Exact-Full expert calls); additional tests on STL-10 and higher-resolution transfers show consistent computation–quality trade-offs, especially at low bit rates.

6.0