RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes
cs.CV
Submitted: 2026-01-08
Updated: 2026-07-08
Terminology
Sources
- Sensor-Independent Illumination Estimation for DNN Models
- Learning Enriched Illuminants for Cross and Single Sensor Color Constancy
- Soft Actor-Critic Algorithms and Applications
- CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy
- Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
- Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem
- Prioritized Experience Replay
- Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
- Tent: Fully Test-time Adaptation by Entropy Minimization
- Deep Retinex Decomposition for Low-Light Enhancement
- ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning
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