MirrorDistill: Illumination-Aware Latent Distillation for Efficient Low-Light Restoration

arXiv:2609.25331 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

• Distillation — 17× in this paper · explained in 2 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Ablation Studies — 3× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Peak Signal-to-Noise Ratio — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Deep Retinex Decomposition for Low-Light Enhancement
• A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement

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