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GraLoD: Graphics-Inspired Continuous Level-of-Detail Learning for Image Restoration

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.16578v1 Announce Type: new Abstract: The spatial support required for image restoration varies across degradation types, image regions, and reconstruction stages. However, most existing methods rely on predefined multi-scale hierarchies and aggregate features through fixed fusion or atte…

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  1. 2026-09-17 04:00 · arXiv cs.CV
    GraLoD: Graphics-Inspired Continuous Level-of-Detail Learning for Image Restoration

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