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Found 2 papers, 1 papers with code
Low Light Video Enhancement by Learning on Static Videos with Cross-Frame Attention
The design of deep learning methods for low light video enhancement remains a challenging problem owing to the difficulty in capturing low light and ground truth video pairs.
Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model
Challenges in capturing aligned low light and well-lit image pairs and collecting a large number of human opinion scores of quality for training, warrant the design of unsupervised (or opinion unaware) no-reference (NR) QA methods.
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