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Wonder 4: A Mixture-of-Experts Recipe for Image Quality Enhancement

Paper recorded by Signals 4 on 2026-11-03 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.CV · 计算机视觉 · first seen 2026-11-04

Abstract

A real photograph is often blurry, grainy, compressed, scratched, and low-resolution at the same time. Each defect has its own severity and its own place in the image. The corrections for these defects conflict with each other. Exist- ing models describe the whole image with one description, so they cannot say where each correction belongs. To solve this problem, we present Wonder 4, a mixture-of-

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#4 most recent of 710 cs.CV papers we have recorded · ↑ newer: OpenBrain: An Auditable Generated-Label Release for Whole-Brain MRI Pa · ↓ older: Low-Density 3D Point Cloud Classification
Cite this page: Wonder 4: A Mixture-of-Experts Recipe for Image Quality Enhancement: the #4 most recent of 710 cs.CV papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/wonder-4-a-mixture-of-experts-recipe-for-image-quality-enhancement.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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