RL-AWB uses a soft actor-critic RL agent to per-image tune a novel gray-pixel illuminant estimator, achieving competitive nighttime white balance with only five training images and better cross-sensor generalization than daytime-trained baselines.
arXiv preprint arXiv:2506.22216 (2025)
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RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes
RL-AWB uses a soft actor-critic RL agent to per-image tune a novel gray-pixel illuminant estimator, achieving competitive nighttime white balance with only five training images and better cross-sensor generalization than daytime-trained baselines.