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Advanced Pixel Diffusion Model with Guided Sparse Global Refinement

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Pixel-space diffusion has recently emerged as a promising direction for high-fidelity image generation by modeling images directly in the original pixel domain. However, pixel-space diffusion is computationally demanding due to the extremely high dimensionality of natural images. For efficiency, existing pixel diffusion models either compromise fine details with large-patch tokenization or confine subsequent refinement within individual patches. Such intra-patch refinement inevitably restricts structural continuity across patch boundaries and long-range token interactions, limiting refinement

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Evidence & attribution

First collected: 2026-09-21T06:11:57.537Z. This is not the publication date.