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Found 3 papers, 2 papers with code
VCGAN: Video Colorization with Hybrid Generative Adversarial Network
We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning.
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
It jointly predicts the colorization and saliency map to minimize semantic confusion and color bleeding in the colorized image.
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration.
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