DACG-IR adds a lightweight degradation-aware module that generates prompts to adaptively gate attention temperature, output features, and spatial-channel fusion in an encoder-decoder network for unified image restoration.
Retinex- former: One-stage retinex-based transformer for low-light image en- hancement
2 Pith papers cite this work. Polarity classification is still indexing.
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Self-DACE++ enhances low-light images more effectively than prior methods via efficient adaptive adjustment curves, randomized-order training with network fusion, and a Retinex-grounded denoising module while achieving real-time speed.
citing papers explorer
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Degradation-Aware Adaptive Context Gating for Unified Image Restoration
DACG-IR adds a lightweight degradation-aware module that generates prompts to adaptively gate attention temperature, output features, and spatial-channel fusion in an encoder-decoder network for unified image restoration.
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Self-DACE++: Robust Low-Light Enhancement via Efficient Adaptive Curve Estimation
Self-DACE++ enhances low-light images more effectively than prior methods via efficient adaptive adjustment curves, randomized-order training with network fusion, and a Retinex-grounded denoising module while achieving real-time speed.