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Unified benchmarks reveal the state-of-the-art in simultaneously addressing multiple real-world image degradations like blur, low-light, and rain.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
A RAG-based dataset distillation pipeline and multi-objective reweighting unlock a single deraining model that generalizes across rain streak, raindrop, daytime, and nighttime conditions, outperforming specialized models.
